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Data Engineer (Data bricks, azure, pyspark, Scala)<h4>Job Description</h4><ul><li>Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements. </li><li>Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. </li><li>Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies </li><li>Responsible for the transformation of conceptual algorithms from R&amp;D into efficient, production ready code. The data developer must have a strong mathematical background in order to be able to document and maintain the code </li><li>Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh, Python, Spark, Scala, etc.  </li><li>Produce and maintain documentation for released data sets, new programs, shared utilities, or static data.  This must be done within department standards </li><li>Ensure quality deliverables to clients by following existing quality processes, manually calculating comparison data, developing statistical pass/fail testing, and visually inspecting data for reasonableness:  the requirement is on-time with zero defects </li></ul><h4>Qualifications</h4><ul><li>Education/Training </li><li>B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field.  </li><li>Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus</li><li>Hard Skills </li><li>Proven experience working as a data engineer </li><li>Highly proficient in using the spark framework (python)</li><li>Extensive knowledge of Data Warehousing concepts, strategies, methodologies. </li><li>Programming experience in Python, SQL, </li><li>Direct experience of building data pipelines using Apache Spark (preferably in Databricks), Airflow. </li><li>Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake   </li><li>Minimum 3 - 6 year of experience as Data engineer </li><li>Experience modeling or manipulating large amounts of data is a plus </li><li>Experience with Demographic, Retail business is a plus </li></ul><h4>Additional Information</h4>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/">Instagram</a> | <a href="https://twitter.com/nielseniq">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/">Facebook</a>Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

NielsenIQ

Data Engineer

Data & Analytics AVP We are seeking individuals proficient in SQL, SAP HANA Cloud, and API integration, with a strong foundation in data engineering and the development of scalable AI-driven applications.An added advantage would be familiarity with Agile methodologies.Experience: 7–15 years Share your resume now.

Live Connections

System Analyst

GCP Data Engineer Skills Required:<ul><li>Expertise in GCP ecosystem – BigQuery, Dataflow, Composer, Pub/Sub, DataProc</li><li>Strong proficiency in Python, PySpark, SQL</li><li>Knowledge of HDFS, Hadoop and large-scale data migration/engineering</li></ul> Responsibilities:<ul><li>Design, build, and optimize data pipelines on GCP</li><li>Lead and deliver end-to-end data engineering &amp; migration projects independently</li><li>Collaborate with stakeholders to build scalable and reliable cloud data solutions</li></ul> Experience: 5+ years Share your updated resume now.

Natobotics

Data Engineer (SAS DQ Conversion) We’re Hiring: Data Engineer (SAS DQ Conversion) Experience: 6+ YearsNotice Period: Immediate Joiners only (First Come, First Serve!)Join us at EXL, where you’ll work on modernizing legacy systems, optimizing SQL queries, and delivering impactful data solutions. Must-Haves:<ul><li>Proficiency in SQL with hands-on translation experience</li><li>SAS Data Quality (DQ) expertise</li><li>Teradata SQL knowledge (preferred)</li><li>Strong problem-solving &amp; teamwork skills</li></ul> Good-to-Haves:<ul><li> Experience in data warehousing &amp; large-scale data environments</li><li> Familiarity with PostgreSQL/MySQL/MS SQL</li><li> Knowledge of Python or scripting for data engineering</li><li> Exposure to AWS/cloud data services</li></ul> Interested candidates, share your resume with details.

EXL Service

Big Data Developer Skills Required: Big Data &amp; Hadoop Ecosystem, Python, PySparkExperience: 5-10 Years Share your updated resume now.

Net2Source

Data Scientist

Senior Data Engineer Cito Techno is looking for passionate Senior Data Engineer to join our growing team. Experience: 5+ Years Notice Period: Immediate Joiner Skills: AWS/Azure, Python, PySpark, Databricks, SQL, Airflow Location: Bangalore, Domlur (4 days working from office) Shift: Normal Shift If you have a strong background in data engineering and are eager to make an impact, send your resume.

Cito Techno

EY - GDS Consulting - AI And DATA -Gen AI - SeniorAt EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.     EY GDS – Data and Analytics (D&amp;A) – Senior – Senior Data ScientistRole Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: <ul><li>Contribute to the design and implementation of state-of-the-art AI solutions.</li><li>Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.</li><li>Collaborate with stakeholders to identify business opportunities and define AI project goals.</li><li>Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.</li><li>Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.</li><li>Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.</li><li>Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.</li><li>Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.</li><li>Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.</li><li>Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.</li><li>Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.</li><li>Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.</li><li>Ensure compliance with data privacy, security, and ethical considerations in AI applications.</li><li>Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.</li></ul> Requirements:<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.</li><li>Minimum 3-7 years of experience in Data Science and Machine Learning.</li><li>In-depth knowledge of machine learning, deep learning, and generative AI techniques.</li><li>Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.</li><li>Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.</li><li>Familiarity with computer vision techniques for image recognition, object detection, or image generation.</li><li>Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.</li><li>Expertise in data engineering, including data curation, cleaning, and preprocessing.</li><li>Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.</li><li>Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.</li><li>Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.</li><li>Understanding of data privacy, security, and ethical considerations in AI applications.</li><li>Track record of driving innovation and staying updated with the latest AI research and advancements. </li></ul>Good to Have Skills:<ul><li>Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.</li><li>Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).</li><li>Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.</li><li>Implement CI/CD pipelines for streamlined model deployment and scaling processes.</li><li>Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.</li><li>Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.</li><li>Implement monitoring and logging tools to ensure AI model performance and reliability.</li><li>Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.</li><li>Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.</li></ul> EY | Building a better working world    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.     Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.     Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  <h4>Experience Level</h4>Senior Level

Ernst & Young LLP ( EY India )

AWS Data Lead Role Highlights<ul><li>Lead and mentor a data engineering team while being hands-on with design &amp; development</li><li>Build and optimize data pipelines, data lakes, and data warehouse solutions on AWS</li><li>Collaborate with cross-functional teams to deliver high-impact data solutions</li><li>Balance leadership responsibilities with strong individual contribution</li></ul> Key Skills<ul><li>AWS Data Services (Redshift, Glue, EMR, S3, Lambda, Kinesis, Athena)</li><li>Strong in Python/SQL/Spark (PySpark)</li><li>Data modeling, pipeline design &amp; performance optimization</li><li>Team handling + stakeholder management experience</li></ul> Experience - 8+ Years Share your updated resume now.

Xebia 

QA Engineer, MathPosition SummaryDebugs software products through the use of systematic tests to develop, apply and maintain quality standards for firm products. Develops, modifies and executes software test plans, automated scripts and programs for testing. Analyzes and writes test standards and procedures. Maintains documentation of test results to assist in debugging and modification of software. Analyzes test results to ensure existing functionality and recommends corrective action. Consults with development engineers in resolution of problems. Provides feedback in preparation of technical appraisals of programming languages, systems and computation software. Ensures quality computer integration into the overall functions of scientific computation, data acquisition and processing. Non-engineer roles that are primarily performing audits and tests of software products in accordance with established test plans and procedures and are not involved in the development of test plans should be matched Software Test Technician.Light &amp; Wonder, Inc. is the leading cross-platform global games company. Through our three unique, yet highly complementary business segments, we deliver unforgettable experiences by combining the exceptional talents of our 6,500+ member team, with a deep understanding of our customers and players. We create immersive content that forges lasting connections with players, wherever they choose to engage. At Light &amp; Wonder, it’s all about the games. The Company is committed to the highest standards of integrity, from promoting player responsibility to implementing sustainable practices. To learn more visit www.lnw.com.At Light &amp; Wonder, all our team members are known as Creators. We empower our creators to innovate, create, and bring fun to the workspace. The core principles that unite our team, guide our actions, and drive our growth are• Dare to be bold - We always bring courage to work to reach for the unbelievable• Celebrate perspectives - We combine diverse talent to look at the familiar in unfamiliar ways• Never settle - We relentlessly push forward to create the extraordinary in every detail• Uphold integrity - We promote accountability and respect to raise the bar for ourselves and the industry• Win as a team - We bring out the best in each other to share collective successRoles &amp; Responsibilities:• Develop, review, and execute simulation code to analyze the math data.• Review math formulas and math sheet information• Develop, review, and execute test plans and test scripts for verifying math data.• Follow all of the Work Instructions on a daily basis• Submit and track any issues found during verification to ensure that they are resolved• Utilize all required databases for quality assurance and testing• Provide input to the weekly project status report for each assigned project• Provide detailed Completion Report at the end of each project• Interface with other members of Development in order to effectively communicate and resolve all reported issues in a timely manner before the gaming product is released• Advanced understanding of software test methodologies/procedures and the overall product development lifecycle• Reproduce issues when necessary in order to assist software development in resolving issues• Responsible for project escalations for each assigned projectKnowledge, Skills, &amp; Abilities:• Knowledge or experience with Math fundamentals (Statistics and probability)• Proficiency with analytical and logical skills.• Knowledge or experience with C++/C# programming.• Knowledge or experience with Microsoft Excel and Word.• Knowledge or experience with Python or other shell scripting languages a plus • Excellent written and oral communication skills• Ability to communicate and collaborate with other team members• Ability to work in a fast paced, deadline-oriented environment• Detail-oriented and organized• Capable of providing input and potential solutions to identified issues• Ability to work with limited supervision• Capable of working and completing tasks with minimal supervision• Ability to multi-taskEducation• M.Sc / B.Sc. (Statistics), M.Sc. / B.Sc. (Applied Mathematics)Qualifications

Light & Wonder India

QA Engineer

Data Engineer We are seeking a highly skilled Data Engineer with strong expertise in PySpark, SQL, and Big Data platforms. The ideal candidate will bring hands-on experience in data migration projects and the ability to design, build, and optimize data pipelines on cloud platforms (AWS). What You’ll Do<ul><li>Design &amp; develop ETL pipelines using PySpark, Spark, and Scala.</li><li>Lead data migration projects; resolve migration challenges.</li><li>Build scalable solutions on AWS cloud services (S3, Lambda, Glue, EMR, Redshift, Athena, Kinesis, etc.).</li><li>Optimize SQL queries, perform performance tuning, and manage relational data models.</li><li>Work with Teradata, Oracle SQL/PL-SQL, Hadoop in enterprise-scale environments.</li><li>Collaborate with cross-functional teams on Analytics, BI, and Data Warehousing initiatives.</li></ul> What We’re Looking For<ul><li>7+ years in Data Engineering &amp; Analytics</li><li>Strong in PySpark &amp; SQL</li><li>Proven Migration Experience (mandatory)</li><li>Hands-on with ETL, AWS, Teradata, Hadoop</li><li>Proficient in Unix scripting, Autosys JIL, PL/SQL</li><li>Experience with Agile / Data Delivery Life Cycle frameworks</li></ul> Why Join Us?<ul><li>Hybrid work model (3 days onsite at Manyata Tech Park)</li><li>Opportunity to work with cutting-edge Big Data &amp; Cloud solutions</li><li>Collaborative, innovative environment with growth opportunities</li></ul> Share your updated resume now.

Collabera

Gen AI/MLOps Engineer Role Highlights:<ul><li>Design &amp; deploy end-to-end ML pipelines with Gen AI integration</li><li>Hands-on with CI/CD, Git, Docker, Jenkins, Kubernetes, and Kafka</li><li>Build &amp; scale solutions on AWS, GCP, or Azure</li><li>Develop ML models using Python, TensorFlow, Keras, PyTorch</li><li>Work with MLOps tools (MLFlow, Kubeflow, W&amp;B, Sagemaker, Vertex AI, Airflow, Prefect, etc.)</li><li>Collaborate across teams to deliver AI at scale</li></ul> What we’re looking for:<ul><li>6+ years of experience in ML / MLOps / Gen AI</li><li>Strong experience in cloud build, deployment &amp; orchestration tools</li><li>Knowledge of statistical modeling, data mining &amp; unstructured data analytics</li><li>Ability to drive both hands-on technical delivery and architecture discussions</li></ul> Share your updated resume now.

Automation Process Engineer

Data Engineer Mandatory Skill- Azure (Azure data bricks, data factory, data lake), AWS-Scala (AWS, Scala, Hadoop, Spark)Experience- 5.5-9 YearsEarly joiners only Share your updated resume now.

Coforge

Senior Analyst – Business Analytics & Insights About the roleThe Global sales &amp; revenue analytics team is responsible to upscale the org towards data driven strategic decision making by adding the intelligence layer on top of InMobi’s robust and complex data - to unlock the revenue potential through analytics, storytelling, and go-to-market strategy. This intelligence layer will be consumed towards realizing efficiencies, unlocking productivity, assessing health of each of our global revenue units.This team, your role, in collaboration with Strategy &amp; Operations team (CEO’ office) will be instrumental in ensuring our journey towards intelligent decision making that will drive the organization to achieve its aggressive revenue growth goals. You will be able to create impact across the organization (Data, Systems, Process and People), that has implications on day-to-day business and organizational health metrics. Who you are<ul><li>Analytical: You appreciate a good spreadsheet, are comfortable with big data sets and are meticulous in your metrics. You have a track record of driving actionable insights that result in measurable growth</li><li>A Do-er: You can execute on complex and ambiguous projects with conviction &amp; good judgement and need minimal guidance &amp; direction</li><li>Collaborative by nature: You have experience partnering cross-functionally with Product, Finance, Marketing and HR, amongst other groups. You’re a strong team player and can work effectively with others across time zones in a global set up</li><li>A strategic thinker: You lean on your market experience and commercial instincts to build and drive the company’s growth strategy</li></ul> What will you be doing?<ul><li>Identify key performance metrics and build exec-facing dashboards to track progress of our high priority revenue initiatives.</li><li>Build effective visualisations to communicate data to key decision-makers using data story telling</li><li>Build predictable mechanisms through data science and machine learning models to track revenue, forecast risks and flag any deviations that may lead to the businesses missing their respective goals. In addition to revenue, also build ways to accurately track the hygiene metrics for the revenue units across engagement, retention etc.</li><li>Help with data backed insights to drive medium &amp; long-term strategy for the business and monthly/quarterly planning &amp; review exercises for different revenue units</li><li>Leverage your intellectual curiosity to understand the company’s underlying business and technical challenges and translating them to into long-term leading and lagging performance indicators that are applicable across business units.</li><li>Leverage analytics and actionable insights to partner directly with the GTM leadership on strategic, organizational, and operational initiatives designed to increase revenue, sales productivity, operational efficiency and forecasting accuracy</li><li>Own and deliver ad-hoc strategic projects for key initiatives that could involve building narratives to drive internal conviction and backing them up with data to validate or negate hypotheses that GTM teams would want to test out for potential new revenue levers</li><li>Work closely with sales team to identify the areas of strengths to capitalize on and opportunities that we are lagging behind on to increase the client and thus revenue for our products</li><li>Establish processes and build products that solve for generating intelligent reports and reduce information overdose while focussing on meaningful consumption of insights within the company</li><li>Communicate your findings to cross-functional peers and management</li><li>Independently collaborate with stakeholders and leaders across various Business units, central strategy, product, sales tech, finance, delivery to align on cross-functional processes that support data integrity and governance &amp; keep improving outcomes and efficiency of initiatives being driven within the unit</li><li>Build models to detect anomalies, investigate and resolve data discrepancies between systems.</li><li>Automate whatever you can!</li></ul>&nbsp;What are we looking for?Skills and Attributes:<ul><li>Gain deep knowledge of many facets of the mobile advertising business such as ad operations, creative services, project management, sales efficiency and productivity</li><li>Quickly grasp external and internal ad tech nuance and leverage to meet business growth</li><li>Develop knowledge of all our data sources and quickly be the go-to-person for extracting and analysing data from these sources.</li><li>Proven ability to wrangle large datasets, extracting insights from data, and summarising learnings / takeaways and drive decision making for various business units leaders</li><li>Ability to learn and adapt to new methodologies for data collection and analysis</li><li>Present insights/findings in a structured manner to directly enable tangible outcomes for stakeholders</li><li>Understand critical interdependencies across functions and divisions, and grasp the short and long-term trade-offs of business decisions.</li><li>Demonstrated aptitude toward Data Storytelling and Root Cause Analysis using data</li><li>Experience with Excel and some dashboarding/data visualisation (i. e. PowerBI,&nbsp;Tableau or similar)</li><li>Experience with SQL/R/Python for data analysis</li><li>3+ years of overall work experience within a Tech/Consulting/Analytics industry</li><li>3+ years of relevant management experience in a business analyst, data analyst or statistical analyst role</li><li>3+ years of work experience with SQL/Python/R, Advanced Excel, any data visualisation tool (Tableau or PowerBI)</li><li>Prior experience within the Adtech industry is a plus</li><li>Should have developed and implemented at least 3 analytics solutions (end to end) which includes translating a business problem into a data analytics problem and providing a sustainable solution</li><li>Trustworthy with high integrity, and ability to maintain appropriate confidentiality</li><li>Patience and stamina to translate long term roadmap into wins and milestones for organizational impact</li><li>Execution-driven and results-oriented to ensure strategy translates to outcomes</li><li>Efficient planning and execution</li><li>Project management abilities: ability to manage long-term (multi-month) integrations, set timelines, and independently drive the process forward.</li><li>Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail</li><li>Plan, prioritise tasks and map stakeholders appropriately</li><li>Excellent written and verbal communication skills</li></ul>

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