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Senior, Data EngineerMake an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.Your day at NTT DATA The Manager, Business Intelligence is a management role responsible for managing, coordinating, designing, developing, directing and overseeing the validation of actionable and measurable reports, as well as analysis and presentation on data sources. This role ensures that the necessary information is available for making informed business decisions and measuring established goals and objectives. This management role is responsible for managing the processes and people responsible for accurate data collection, processing, modelling and analysis, as well as fostering a collaborative and high-performing culture across the team. Key responsibilities:<ul><li>Manages cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.</li><li>Guides the development and implementation of comprehensive tools and strategies that allow raw data to be transformed into business insights.</li><li>Works closely with stakeholders across the business to support and implement high-quality, data-driven decisions.</li><li>Manages data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics team to follow.</li><li>Uses advanced data modelling, predictive modelling and analytical techniques to provide input to interpreting key findings from company data and leverage these insights into initiatives that will support business outcomes.</li><li>Manages the building, development and maintenance of data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.</li><li>Manages the identification and evaluation of emerging AI technologies and trends and driving innovation initiatives to explore new AI use cases and applications.</li><li>Guides the design and build of technical processes to address business issues.</li><li>Oversees the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.</li><li>Manages and optimizes processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.</li><li>Reviews, interprets and reports results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.</li><li>Oversees the data/report requests process: tracking requests submitted, prioritization, approval, etc.</li><li>Guides the development and implementation of quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.</li><li>Provides support, coaching and development opportunities to a team of data analytics professionals within their remit.</li></ul> To thrive in this role, you need to have:<ul><li>Good understanding of data mining principles, predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.</li><li>Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.</li><li>Organized, strong analytical skills, and capable of handling multiple projects with executive stakeholders.</li><li>Good understanding of statistical analysis and reporting packages.</li><li>Ability to identify solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities.</li><li>Ability to produce understandable and actionable reports gleaned from data.</li><li>Problem solving, quantitative and analytical abilities.</li><li>Excellent communication, collaboration and delegation skills.</li><li>Programming skills with querying languages, SLQ, SAS, etc.</li><li>Good management and leadership skills.</li></ul> Academic qualifications and certifications:<ul><li>Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field is preferred.</li></ul> Required experience:<ul><li>Advanced demonstrated experience using statistical packages for analyzing datasets (Excel, PBI, R, Python etc.).</li><li>Seasoned line manager experience managing end-to-end process improvement implementations spanning process, systems and people.</li><li>Advanced demonstrated experience with reporting packages (Business Objects etc.), databases (SQL etc.), and ETL frameworks.</li><li>Advanced demonstrated experience with statistical modelling techniques.</li><li>Advanced demonstrated working with and creating databases and dashboards using all relevant data to inform decisions.</li><li>Advanced demonstrated with big data tools.</li></ul>Workplace type: Hybrid WorkingAbout NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please <a href="mailto:global.careers@nttdata.com" rel="noopener noreferrer" target="_blank">contact us</a>.<h4>Experience Level</h4>Senior Level

NTT DATA Global Delivery Services Ltd

Data Engineer

Group Product Analyst IKEY ACCOUNTABILITIES: <ul><li>Work closely with the Business, Product and Technology teams to develop world class systems and processes.</li><li>Leverage business context and objectives, to develop, implement and own Web Analytics measurement plan</li><li>Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.</li><li>Simplify and automate reporting and other data-driven activities; build solutions to have maximum scale.</li><li>Proactively identify improvement opportunities and understand how our users interact with our products through systematic and rigorous measurement and analysis.</li><li>Develop a deep understanding of specific areas of the business and the key metrics to measure the performance of the product.</li></ul>OTHER:<ul><li>Participate and contribute to data discussions with the goal to enrich data and business understanding.</li><li>Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviours in harmony with DP World’s Founder’s Principles, values and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World’s Code of Conduct and Ethics policies</li><li>Perform other related duties as assigned.</li></ul>QUALIFICATIONS, EXPERIENCE AND SKILLS<ul><li>Bachelor’s degree in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute</li><li>Having 4-8 years hands-on experience with Product and Business analytics, preferably in ecommerce </li><li>Strong business acumen</li><li>Experience with building dashboards in powerBI, Tableau or other data visualization tools</li><li>Expert knowledge of Excel, and SQL, statistics, and application of data science algorithms.</li><li>Good Knowledge of Web Analytics Tool (such as Google Analytics) and A/B testing.</li><li>Excellent written and verbal communication skills</li></ul> #LI-MP1<h4>Experience Level</h4>Senior Level

DP World Express Logistics Private Limited

Associate Product Manager

Pricing Analyst/Data AnalystFarnell Farnell, an Avnet company, is a global high-service distributor of technology products, services and solutions for electronic system design, maintenance and repair. 1    Analyse and recommend pricing strategies to optimize sales and margin -    Perform analysis on financial impact and price position against competitors on pricing strategy -    Research and understand foreign currency fluctuations. -    Analyse &amp; review Sales &amp; margin performance of pricing strategy  -    Understand product cost and incorporate these factors and other factors into price strategy and processes 2    Plan &amp; implement agreed price strategies through price cycle processes 3    Participate in global/regional pricing initiative to deliver Pricing KPI or improve process efficiency  4    Build strong relationships with regional &amp; global Sales &amp; Product teams and influence stakeholders to aligned on pricing &amp; discounting direction &amp; decisions 5    Align with the pace of executions and meet deadlines6.Other duties as assigned.Knowledge, Skills and Experience:Essential : - Hands on experience of SQL &amp; database- Analytical skills - Experience working with large data - Advanced Excel UserDesirable: - Microsoft Access skillset  - Experience in stakeholder management  - Project Management skillset- Power BIWork Experience:- 2 years or more.The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills.<h4>Experience Level</h4>Mid Level

AVNET India Pvt Ltd

Market Analyst

Machine Learning Engineer Coforge is seeking a Machine Learning Engineer for positions in Greater Noida, Pune, and Hyderabad with an immediate to 10-day notice period. Key Requirements:- Experience: 4–8 years in machine learning engineering, encompassing end-to-end model development and deployment.- Programming Skills: Proficiency in Python, with knowledge of ML libraries like TensorFlow, PyTorch, and Scikit-learn.- Framework Expertise: Hands-on experience with MLOps tools such as Kubeflow, Metaflow, Ray, MLflow, or Azure ML.- Cloud Platforms: Strong understanding of AWS, Azure, and GCP for deploying ML workflows.- Containerization: Proficiency in Docker and Kubernetes for containerized model deployment.- Workflow Automation: Familiarity with orchestration tools like Apache Airflow or Prefect for automating pipelines.- Data Engineering: Understanding data preparation processes, including SQL and NoSQL databases.- Version Control: Experience in data and model versioning using tools like DVC or Git.- Monitoring Tools: Knowledge of monitoring frameworks such as Prometheus, Grafana, or ELK stack for pipeline observability.- Problem-Solving: Strong analytical and debugging skills to optimize workflows and troubleshoot production issues.- Collaboration Skills: Effective communication and teamwork abilities to collaborate with cross-functional teams. Interested individuals can forward their resumes.

Coforge

Data Annotation Engineer

Senior Data Scientist Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 5–9 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Publicis Sapient Consulting Pvt Ltd

Data Scientist

QA Manual and Automation Test Engineer We are developing a cyber risk quantification product. As a QA Manual &amp; Automation Tester, you will play a crucial role in ensuring the quality of our products by designing, documenting, and executing both manual and automated test cases. You will be responsible for overseeing all quality assurance activities, including developing comprehensive test plans, performing exploratory testing, and executing functional and regression testing. This role requires close collaboration with development, product management, and support teams to ensure a high-quality product ready for release. Responsibilities: Test Planning &amp; Execution: Develop comprehensive test plans, test cases, and test data strategies for complex applications. Develope, design configure automation tools for automation test case execution Perform manual and automated testing as necessary Develop SQL queries to validate API output and backend data validation Framework Development &amp; Maintenance: Design and develop advanced automation frameworks using Python and related technologies, focusing on reusability and extensibility.(e.g. Pytest,UnitTest) CI/CD Pipeline Optimization: Optimize the CI/CD pipeline for continuous testing and feedback, ensuring seamless integration of automated tests. Performance &amp; Scalability Testing: Design and execute complex performance and scalability tests to identify bottlenecks and ensure application stability. Defect Management &amp; Analysis: Lead defect analysis and root cause investigations, collaborating with development teams to ensure timely resolution. Qualifications: Experience: 8+ years of experience in software testing and automation, with a proven track record of leading automation efforts. Sound knowledge of API testing and writing SQL queries to perform backend data validations. Experience with one of the automation testing tools. (Selenium, Cypress, Playwright or any other tool) CI/CD Mastery: Deep understanding of CI/CD pipelines and experience with related tools and technologies. Performance Testing Expertise: Extensive experience with performance and scalability testing tools and methodologies. Agile Expertise: Extensive experience working in Agile/Scrum environments. Cloud Proficiency: Experience with cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Version control: advance understanding of GIT. Nice to have AI-Powered Testing Implementation: Research, evaluate, and implement advanced AI and machine learning techniques for test automation, including: Developing custom AI models for test case generation and anomaly detection. AI/ML Experience: Demonstrated experience in implementing AI/ML techniques for test automation, including model development and integration.<h4>Experience Level</h4>Senior Level

Sails Software Solutions

Quality Assurance Tester

Tech Lead - SQL + Snowflake + ADF JobYASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire MS SQL Professionals in the following areas : <h4>Experience</h4>5 - 7 Years<h4>Job Description</h4>Job Summary:We are looking for a skilled SQL Server, Snowflake Developer to join our data and analytics team. The ideal candidate will have strong experience in developing and maintaining data solutions using SQL Server, Snowflake. You will play a key role in building scalable data pipelines, designing data models, and delivering business intelligence solutions.Key Responsibilities:-Develop and optimize complex SQL queries, stored procedures, and ETL processes in SQL Server. -Design and implement data pipelines and models in Snowflake. -Build and maintain SSIS packages for ETL workflows. -Migrate and integrate data between on-premise SQL Server and Snowflake cloud platform. -Collaborate with business analysts and stakeholders to understand reporting needs. -Ensure data quality, performance tuning, and error handling across all solutions. -Maintain technical documentation and support data governance initiatives. Required Skills &amp; Qualifications:-5-7 years of experience with SQL Server (T-SQL). -2+ years of hands-on experience with Snowflake. -Strong understanding of ETL/ELT processes and data warehousing principles. -Experience with data modeling, performance tuning, and data integration. -Familiarity with Azure cloud platforms is a plus. -Good communication and problem-solving skills. Preferred / Good-to-Have Skills:-Experience with Azure Data Factory (ADF) for orchestrating data workflows. -Experience with Power BI or other visualization tools. -Exposure to CI/CD pipelines and DevOps practices in data environments.<h4>Required Technical/ Functional Competencies</h4>Domain/ Industry Knowledge:<ul><li>Basic knowledge of customer's business processes- relevant technology platform or product.</li><li>Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.</li></ul>Requirement Gathering and Analysis:<ul><li>Working knowledge of requirement management processes and requirement analysis processes, tools &amp; methodologies.</li><li>Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements &amp; transition requirements for engagement.</li></ul>Product/ Technology Knowledge:<ul><li>Working knowledge of technology product/platform standards and specifications.</li><li>Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.</li><li>Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.</li></ul>Architecture tools and frameworks:<ul><li>Working knowledge of architecture Industry tools &amp; frameworks.</li><li>Able to identify pros/ cons of available tools &amp; frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.</li></ul>Architecture concepts and principles:<ul><li>Working knowledge of architectural elements, SDLC, methodologies.</li><li>Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution &amp; engagements and communicates architecture direction to the business.</li></ul>Analytics Solution Design:<ul><li>Knowledge of statistical &amp; machine learning techniques like classification, linear regression modelling, clustering &amp; decision trees.</li><li>Able to identify the cause of errors and their potential solutions.</li></ul>Tools &amp; Platform Knowledge:<ul><li>Familiar with wide range of mainstream commercial &amp; open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.</li></ul><h4>Required Behavioral Competencies</h4>Accountability:<ul><li>Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.</li></ul>Collaboration: <ul><li>Shares information within team, participates in team activities, asks questions to understand other points of view.</li></ul>Agility:<ul><li>Demonstrates readiness for change, asking questions and determining how changes could impact own work.</li></ul>Customer Focus:<ul><li>Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.</li></ul>Communication:<ul><li>Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.</li></ul>Drives Results:<ul><li>Sets realistic stretch goals for self &amp; others to achieve and exceed defined goals/targets.</li></ul>Resolves Conflict:<ul><li>Displays sensitivity in interactions and strives to understand others’ views and concerns.</li></ul><h4>Certifications</h4>
Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles<ul><li>Flexible work arrangements, Free spirit, and emotional positivity</li><li>Agile self-determination, trust, transparency, and open collaboration</li><li>All Support needed for the realization of business goals,</li><li>Stable employment with a great atmosphere and ethical corporate culture</li></ul><h4>Experience Level</h4>Senior Level

Yash Technologies Private Limited

Data Engineer <ul><li>Required Expertise: Azure Databricks, PySpark, SQL</li><li>Experience: 5+ Years ONLY</li><li>Availability: Immediate to 45 days</li></ul> Share your updated resume now.

Infocepts Technologies Pvt Ltd

Data Engineer (IICS, Snowflake, Python, DBT, Airflow) We’re Hiring – Data Engineer (IICS, Snowflake, Python, DBT, Airflow)Experience: 10+ Years Key Skills:<ul><li>Snowflake, Airflow, AWS, DBT with Python (Primary) + IICS/Informatica (Secondary)</li><li>IICS/Informatica, AWS with Python (Primary) + Snowflake, Airflow, DBT (Secondary)</li></ul> Key Skills:<ul><li>Snowflake, AWS, Airflow, DBT</li><li>Strong Python (PySpark, Snowpark)</li><li>Informatica / IICS for Data Integration</li><li>CI/CD, Terraform, Kubernetes, GitHub Actions</li><li>SQL optimization &amp; Data Pipelines</li></ul> Responsibilities:<ul><li>Build &amp; optimize ETL/Data Pipelines</li><li>Fine-tune Snowflake queries</li><li>Automate CI/CD &amp; Testing</li><li>API &amp; Pipeline Development</li><li>Promote best coding &amp; DevOps practices</li></ul> Qualification:<ul><li>Bachelor’s in CS/Engineering</li><li>5+ years in Data Engineering &amp; Cloud Platforms</li></ul> If interested, send your profile to <a rel="noopener noreferrer" href="\&quot;mailto:karthickraj.s@quesscorp.com\&quot;" target="_blank">karthickraj.s@quesscorp.com</a>

Quess Corp Limited

Full Stack EngineerProject Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Data Science Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As a Full Stack Engineer, you will be responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Utilize development skills to deliver innovative solutions that enhance client services, leveraging new technologies to solve challenging business problems with a cloud-first and agile mindset.
 
Roles &amp; Responsibilities: 
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead and mentor junior team members.
- Collaborate with cross-functional teams to drive project success.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Data Science.
- Strong understanding of statistical analysis and machine learning algorithms.
- Experience with data visualization tools such as Tableau or Power BI.
- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
 
Additional Information: 
- The candidate should have a minimum of 15 years of experience in Data Science.
- This position is based at our Pune office.
- A 15 years full time education is required.

Accenture India Private Limited

Full Stack Engineer

Senior Data Engineer <ul><li>Architect and optimize large-scale data pipelines</li><li>Work with cutting-edge tools like MWAA, ECS, Glue, Redshift, Airflow, Terraform</li><li>Collaborate in Agile teams and integrate CI/CD workflows</li><li>Drive innovation with AI/ML workflows and modern observability tools</li></ul> What We’re Looking For:<ul><li>8+ years of hands-on experience in Data Engineering</li><li>Deep knowledge of AWS services and distributed systems</li><li>Strong experience with Databricks (PySpark, Delta Lake), DBT, and data modeling</li><li>Bonus: Experience with Meltano, AI/ML pipelines, and tools like Datadog or Prometheus</li></ul> Share your resume now.

GSPANN Technologies

Sr/Lead Data Engineer Databricks Position Summary:We are seeking a talented Sr. / Lead Data Engineer with a strong background in data engineering to join our team. You will play a key role in designing, building, and maintaining data pipelines using a variety of technologies, with a focus on the Microsoft Azure cloud platform. Required Experience<ul><li>6 - 8&nbsp;years</li></ul> Responsibilities:<ul><li>Design, develop, and implement data pipelines using Azure Data Factory (ADF) or other orchestration tools.</li><li>Write efficient SQL queries to extract, transform, and load (ETL) data from various sources into Azure Synapse Analytics.</li><li>Utilize PySpark and Python for complex data processing tasks on large datasets within Azure Databricks.</li><li>Collaborate with data analysts to understand data requirements and ensure data quality.</li><li>Hands-on experience in designing and developing Datalakes and Warehouses</li><li>Implement data governance practices to ensure data security and compliance.</li><li>Monitor and maintain data pipelines for optimal performance and troubleshoot any issues.</li><li>Develop and maintain unit tests for data pipeline code.</li><li>Work collaboratively with other engineers and data professionals in an Agile development environment.&nbsp;</li></ul>&nbsp;Preferred Skills &amp; Experience:<ul><li>Good knowledge of PySpark &amp; working knowledge of Python</li><li>Full stack Azure Data Engineering skills (Azure Data Factory, DataBricks and Synapse Analytics)</li><li>Experience with large dataset handling</li><li>Hands-on experience in designing and developing Datalakes and Warehouses</li></ul>&nbsp;

New Vision Softcom And Consultancy Private Limited

Data EngineerWho are we Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking &amp; financial services, insurance, retail, higher education, food, health care, and manufacturing. The
Role <ul><li>Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights. </li><li>Constructing infrastructure for efficient ETL processes from various sources and storage systems. </li><li>Leading the implementation of algorithms and prototypes to transform raw data into useful information. </li><li>Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations. </li><li>Creating innovative data validation methods and data analysis tools. </li><li>Ensuring compliance with data governance and security policies. </li><li>Interpreting data trends and patterns to establish operational alerts. </li><li>Developing analytical tools, programs, and reporting mechanisms. </li><li>Conducting complex data analysis and presenting results effectively. </li><li>Preparing data for prescriptive and predictive modeling. </li><li>Continuously exploring opportunities to enhance data quality and reliability. </li><li>Applying strong programming and problem-solving skills to develop scalable solutions. </li></ul> <h4>Requirements</h4><ul><li>Experience in the Big Data technologies (Hadoop, Spark, Nifi,
Impala) </li><li>5+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines. </li></ul><ul><li>High proficiency in Scala/Java and Spark for applied large-scale data processing. </li><li>Expertise with big data technologies, including Spark, Data Lake, and Hive. </li><li>Solid understanding of batch and streaming data processing techniques. </li><li>Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion. </li><li>Expert-level ability to write complex, optimized SQL queries across extensive data volumes. </li><li>Experience on HDFS, Nifi, Kafka. </li><li>Experience on Apache Ozone, Delta Tables, Databricks, Axon(Kafka), Spring Batch, Oracle DB </li></ul><li>Familiarity with Agile methodologies. </li><li>Obsession for service observability, instrumentation, monitoring, and alerting. </li><li>Knowledge or experience in architectural best practices for building data lakes. </li> <h4>Experience Level</h4>Senior Level

Fulcrum Digital

Director - Metrics, Analytics & Reporting<h4>Company:</h4>Mercer<h4>Description:</h4>We are seeking a talented individual to join our Metrics, Analytics and Reporting team at Mercer .This role will be based in Mumbai /Gurugram .This is a hybrid role that has a requirement of working at least three days a week in the office.Director - Metrics, Analytics &amp; ReportingWe will count on you to:<ul><li>Create methods and practices to carry out robust capacity planning in back office/Admin and Project based teams in O&amp;T</li><li>Be an expert at forecasting and try different avenues and models of forecasting for varied teams across Operations &amp; technology units.</li><li>Provide insights and experimental analysis on how various forecasting models can be adapted to make our planning exercise richer and closer to ground reality</li><li>Utilize forecasting tools and practices which are best in class at an industry level and harmonize ways of working with our teams with that</li><li>Improve the accuracy of our predictions and plans and bridge the gap between forecast and actual volumes, revenues, performance and more operational aspects.</li><li>Aid the development of Capacity Planning application from an end user’s perspective</li><li>develop and refine individual capacity plans for each of O&amp;T’s product lines/regional operations across their on and offshore operations, in collaborations with regional operations leads</li><li>support optimization of back office/admin workforce management practices across O&amp;T and be able to leverage peaks and troughs, and lean periods to maximize use of existing resources.  </li><li>support managers and leader in Operations teams in making appropriate hiring and capacity augmentation decisions which include cross training, contract resourcing, lending &amp; borrowing resources etc. </li></ul>Stakeholder management and influence:<ul><li>Collaborate with COOs and operations leads to create meaningful plans for their units and communicate that effectively using facts and data.  </li><li>collaborate with them to create messaging and insights such that accurately reflect their team’s position and can be supported effectively</li><li>provide insights that help them run operations more effectively from service delivery, quality and cost perspectives</li><li>bring out the best practices across other O&amp;T teams and to cross pollinate best practices across operations</li></ul>What you need to have: <ul><li>Bachelor’s degree in business administration, maths, engineering or economics from accredited university or equivalent experience</li><li>20+ years of experience in ITES</li><li>10+ year of experience in business intelligence, predictive modelling, forecasting and planning in Services Industry, supply chain or logistics</li><li>Experience with BackOffice Planning and exposure to Contact Centre operations</li><li>Experience as a Client Relationship Manager or Product Manager is preferred</li><li>Knowledge of customer relationship management practices</li><li>Problem-solving attitude</li><li>Excellent analytics skills</li></ul>What makes you stand out?<ul><li>Demonstrate agility and rigor</li><li>Attention to detail with exceptional quality of work</li><li>Excellent communication and interpersonal skills.</li><li>Adaptive to organisational culture and business environment</li></ul>Why join our team:<ul><li>We help you be your best through professional development opportunities, interesting work and supportive leaders.</li><li>We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.</li><li>Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.</li></ul>Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.<h4>Experience Level</h4>Executive Level

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