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IN_Manager_Palantir Foundary_Data and Analytics_Advisory_Chennai - Menon EternityLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:· 3+ years of experience in implementing analytical solutions using Palantir Foundry.· · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale.· · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry.· · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually.· · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry.· · At least 3 years of experience with Foundry services:· · Data Engineering with Contour and Fusion· · Dashboarding, and report development using Quiver (or Reports)· · Application development using Workshop.· · Exposure to Map and Vertex is a plus· · Palantir AIP experience will be a plus· · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry.· · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary.· · Hands-on experience in working &amp; building on Ontology (esp. demonstrable experience in building Semantic relationships).· · Proficiency in SQL, Python and PySpark. Demonstrable ability to write &amp; optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well.· · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary.· · Experience in MLOps is a plus.· · Experience in developing and managing scalable architecture &amp; working experience in managing large data sets.· · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus.· · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus.· · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview.· · Experience in developing GenAI application is a plusMandatory skill sets:· At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry.· At least 3 years of experience with Foundry servicesPreferred skill sets:Palantir FoundryYears of experience required:Experience 7 to 10 years ( 4 + years relevant)Education qualification:Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus.Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor Degree, Master DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsPalantir (Software)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 21 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Mid Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Business Intelligence and Analytics Manager

Data Engineer Role Overview<ul><li>Design, build, and maintain reliable data pipelines for structured and unstructured data.</li><li>Develop and optimize ETL processes for data ingestion and transformation.</li><li>Collaborate with cross-functional teams to deliver high-quality, timely data solutions.</li><li>Ensure performance, scalability, and compliance with data governance and security standards.</li><li>Troubleshoot and resolve data quality or performance issues proactively.</li></ul> Mandatory SkillsWe are specifically looking for candidates with hands-on experience in:<ul><li>Python</li><li>PySpark</li><li>AWS EMR</li></ul> Additional Skills (Good to Have)<ul><li>AWS Services (S3, Glue, Lambda, Athena, CloudWatch)</li><li>Airflow or Jenkins for orchestration</li><li>Docker, Kubernetes for containerization</li><li>Snowflake, Redshift, or similar data warehouses</li><li>CI/CD tools (GitLab, Bitbucket)</li><li>Streaming technologies (Kafka)</li><li>Data governance tools (DataHub, Great Expectations)</li><li>Exposure to visualization tools like Tableau, Power BI, or MicroStrategy</li><li>Experience with Agile/Scrum methodologies</li><li>Retail domain experience is a plus</li></ul> Experience Required<ul><li>4+ years in a Data Engineer role</li><li>Bachelor’s degree in technology or related field</li></ul> Share your updated resume now.

TEKsystems Global Services Pvt Ltd

Data Engineer

Senior Tableau Developer DXC Technology hiring candidates for below position.&nbsp;Job Role: Senior Tableau DeveloperYears of experience:&nbsp;6+ Interested candidates can share their resume with below detailsCurrent CTC:Expected CTC:Notice Period:Current Location:Preferred Location:

DXC Technology India Pvt Ltd

Data Analyst

Machine Learning Engineer We're hiring Machine Learning Engineer Key Skills:• Programming &amp; Scripting (Python, etc.)• Data &amp; Feature Engineering• Monitoring &amp; Logging (Prometheus, Grafana)• Experiment Tracking &amp; Workflow Orchestration (MLflow, Kubeflow, Weights &amp; Biases)• Hands-on with ML Frameworks (TensorFlow, PyTorch, Scikit-learn) Share updated CVs with subject line: Machine Learning Engineer

L&T Technology Services Ltd

Data Annotation Engineer

Sr. Data Engineer We are hiring for an Immediate Opening! Role: Sr. Data EngineerExperience: 5–8 YearsLocation: Hyderabad (Only) Mandatory Skills: Python, PySpark Interested candidates can share your resumes.

Capgemini

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 

Data Modeller Capgemini is hiring for a Data Modeller role! Experience: 6+ YearsMandatory Skills:• Data Modelling• Data Warehousing• ETL• GCP Cloud

Agent Insights Analyst (Tableau/PowerBI)Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.What You’ll Do on a Typical Day:<ul><li>Support the Agent Insights Business Managers with their core activities of inspiring change and support them with the additional day to day analytics</li><li>Partner with different teams within the organization such as Traveler Care, Commercial, Product &amp; Technology and Customer Experience teams</li><li>Prioritization: With competing priorities, show ability to prioritize and implement appropriate sets of activities to achieve performance management excellence. Clear distinction between why a set of tasks must be prioritized over others through understanding of cause and effect.</li><li>Creative Thinking: Ability to think creatively to identify and deliver new, innovative analytical projects from existing and existing and new data sources</li><li>Continuous Improvement: Identify opportunities for process optimization, efficiency gains and automation using data-driven insights and technology to drive continuous improvement. Instill and test and learn culture into existing business processes on order to improve overall business performance</li><li>Long term solution oriented: You are confident to share your own ideas and challenge current ways of working, always with a long term solution in mind</li><li>Proactivity: Holistic understanding of agent performance and ability to articulate performance hotspots and issues; Proactively, formulate coaching and performance improvement areas in a methodologically to key stakeholders in a concise and actionable manner.</li><li>Knowledge: Become an expert; be curious and engage business collaborators to learn about what drives Agent Performance.</li></ul>What We’re looking for:<ul><li>Proven experience in complex data analysis and business intelligence roles</li><li>Advanced analytical skills with proficiency in data visualization and statistical analysis tools (e.g., Excel, Access, Alteryx, Power BI, Tableau) as well as robust attention to detail/quality; experience in storytelling from data and/or predictive analytics models</li><li>Bring a Can Do Attitude that is flexible, creative, energetic and collaborative</li><li>Excellent communication skills, with the ability to support Business Manager with the translation of complex data into actionable insights for non-technical collaborators.</li><li>Knowledge of relevant industry standards, regulations, and best practices in performance management and data analytic.</li><li>You are a team player, but you are also able to work independently</li><li>Speak English fluently</li></ul>     LocationBangalore, India     The #TeamGBT ExperienceWork and life: Find your happy medium at Amex GBT.<ul><li>Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.</li><li>Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.</li><li>Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.</li><li>We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.</li><li>And much more!</li></ul>All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.<a href="https://explorer.amexglobalbusinesstravel.com/rs/346-POJ-129/images/Additional%20Disclosures%20in%20Accordance%20with%20the%20LA%20County%20Fair%20Chance%20Ordinance.pdf?version=2" rel="noopener noreferrer" target="_blank">Click Here</a> for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the <a href="https://www.amexglobalbusinesstravel.com/gbt-recruitment-privacy-statement/" rel="noopener noreferrer" target="_blank">Amex GBT Recruitment Privacy Statement</a>.What if I don’t meet every requirement? If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;" please apply anyway. You may be exactly the person we’re looking for!<h4>Experience Level</h4>Senior Level

American Express Global Business Travel

Insurance Analyst

Data Mining/Market Research Professional <ul><li>Experience- 2-4 years</li><li>Perform data mining, lead generation, and prospect research using tools such as ZoomInfo, Lusha, Apollo, and other similar platforms.</li><li>Clean, organize, and validate large datasets to ensure data accuracy and reliability.</li></ul> Share your updated resume at with the Job role in subject line for which you're applying.

Infojini Consulting INC

Market Research Executive

Azure Data Engineer Key Skills We’re Looking For:<ul><li>Strong hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse, Azure SQL</li><li>Expertise in ETL/ELT pipelines and data modeling</li><li>Proficiency in PySpark / Python / SQL</li><li>Knowledge of Azure Data Lake, Power BI</li><li>Solid understanding of data integration, migration, transformation, and cloud data engineering best practices</li></ul> Experience - 3+ yearsImmediate joiners are prefer Share your updated resume now.

Senior Data Processing Specialist – Russian Language<h4>Job Description</h4>The Senior Data Processing Specialist is responsible for delivering high-quality data operations support and ensuring accurate reporting in line with service levels. A key part of this role is leveraging Russian language knowledge to read, interpret, and validate product information, ensuring accurate categorization and data processing. While this is not a client-facing language role, the ability to understand Russian product details is critical. Responsibilities<ul><li>Deliver high-quality data on time, aligned with agreed service levels and requirements.</li><li>Process defined reports, schedules, and tasks by following procedures, delivery timelines, and SLAs.</li><li>Act as the client’s advocate within NOC by sharing feedback on client needs and suggesting process improvements.</li><li>Understand upstream and downstream processes to ensure clean data delivery and reduce rework across teams.</li><li>Provide support in reviewing or translating Russian product descriptions, ensuring correct categorization and data accuracy.</li></ul>Expectations<ul><li>Basic knowledge of Russian language (ability to read and interpret product details).</li><li>Clear understanding of FMCG products and industry.</li><li>Strong communication skills for seamless collaboration with internal stakeholders.</li></ul><h4>Qualifications</h4><ul><li>1–1.5 years or more experience in operations.</li><li>Strong organizational skills, ability to work in teams, and meet deadlines.</li><li>High degree of accuracy, proactivity, and attention to detail.</li><li>Good analytical skills and aptitude for data/operational processes.</li><li>Project management aptitude (task sequencing, problem solving, critical path awareness).</li><li>Proficiency in English (spoken and written).</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><h4>Experience Level</h4>Senior Level

NielsenIQ

Senior Data Processing Officer

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

Data Scientist Responsibilities:<ul><li>Data Analysis and Modeling:</li><li>Utilize advanced statistical methods and deep learning/machine learning techniques to analyse large datasets and extract valuable insights.</li><li>Develop predictive models and algorithms to support business decision- making.</li><li>Domain Expertise:</li><li>Demonstrate expertise in the Biometrics domain or similar industry, understanding the nuances of data and business requirements.</li><li>Apply data science techniques to address specific challenges within the domain.</li><li>Feature Engineering and Data Preprocessing:</li><li>Conduct effective feature engineering and data preprocessing to ensure high- quality input for machine learning models</li><li>Good Knowledge of object detection and computer vision is required.</li><li>Work with real-world data to derive meaningful features for analysis.</li><li>Coding Proficiency:</li><li>Exhibit strong programming skills in languages such as Python, R, or similar.</li><li>Should have working knowledge of developing REST API’s and frameworks like Flask/FastAPI.</li><li>Implement and deploy machine learning models, and contribute to codebase maintenance.</li><li>Must have knowledge of deep learning model training, evaluation and understanding of model inferencing.</li><li>Collaboration:</li><li>Collaborate with cross-functional teams to define data requirements and deliver solutions that meet business objectives.</li><li>Communicate findings and insights to both technical and non-technical stakeholders.</li><li>Model Evaluation and Optimization:</li><li>Evaluate model performance using appropriate metrics and iterate models for continuous improvement.</li><li>Optimise/quantize models for scalability and efficiency in real-world applications eg. edge devices.</li><li>Cloud and Big Data Technologies:</li><li>Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies for efficient data processing and analysis.</li><li>Version Control:</li><li>Utilize version control systems (e.g., Git/Gitlab) to manage and track changes in code and models</li></ul> Qualifications:<ul><li>Bachelors/Master’s or Ph.D. in a relevant quantitative field such as Computer Science, Statistics, or Data Science.</li><li>Overall 3+ years of industry work experience in computer vision, object detection, pattern recognition, artificial intelligence, automation, and/or vision processing.</li><li>3+ years of relevant experience as a CV Engineer, Data Scientist, Machine Learning Engineer, or related role.</li><li>Experience with common languages (e.g., Python, SQL) and tools (e.g., TensorFlow, PyTorch, distributed training / inference) on premise or cloud.</li><li>Knowledge of CUDA, OpenCV, Model Training on multiple GPUs.</li><li>Proficient in at least one of: PyTorch (Preferable), TensorFlow and Keras</li><li>Coding experience in programming Languages: Python (must), C++</li><li>Knowledge of text detection &amp; OCR, human / face detection, generative</li><li>models, video analytics, model compression / optimization.</li><li>Very good understanding and knowledge of Statistical and ML/DL Concepts:</li><li>Statistics</li><li>Computer Vision</li><li>Regression/ Classification and Unsupervised Approaches</li><li>Model Training, Deployment and Evaluation</li><li>Ensemble approaches</li><li>Evaluation techniques</li><li>Familiarity with various operating systems (e.g. Windows, UNIX) and databases (e.g. MySQL,NoSQL)</li><li>Good team player and excellent written and verbal technical communication skills</li><li>Experience with cloud platforms(AWS,GCP,Azure) and big data technologies is a plus.</li><li>&nbsp;Experience with Docker, Kubernetes, Airflow/MLFlow is good to have.</li></ul> Experience: <ul><li>6+ years</li></ul>

BioQube

Data Engineer (Databricks, SQL, Python) We are seeking an experienced&nbsp;Data Engineer&nbsp;with 4 to 5 years of experience, and at least 3+ years of expertise in designing and implementing data solutions using the Databricks platform. The ideal candidate will have a solid background in distributed computing, big data technologies, and cloud platforms. Key Responsibilities:<ul><li>Design, implement, and maintain scalable data solutions using&nbsp;Databricks.</li><li>Work with programming languages such as&nbsp;Python, SQL, or Scala.</li><li>Collaborate with cross-functional teams to deliver data-driven solutions.</li><li>Optimize and manage data pipelines using&nbsp;Apache Spark&nbsp;and&nbsp;cloud services&nbsp;(AWS, Azure, or GCP).</li><li>Leverage DevOps practices to automate deployments and monitor data pipelines.</li></ul> Key Skills:<ul><li>Proficiency in&nbsp;Python,&nbsp;SQL, or&nbsp;Scala.</li><li>Hands-on experience with&nbsp;Databricks&nbsp;and&nbsp;Apache Spark.</li><li>Strong knowledge of&nbsp;cloud platforms&nbsp;like AWS, Azure, or GCP.</li><li>Good understanding of&nbsp;distributed computing&nbsp;and big data technologies.</li><li>Familiarity with&nbsp;containerization&nbsp;(Docker, Kubernetes) and&nbsp;DevOps&nbsp;practices.</li></ul> Good to Have:<ul><li>Experience with&nbsp;containerization technologies&nbsp;(Docker, Kubernetes).</li><li>Knowledge of&nbsp;automated deployment and monitoring&nbsp;for data pipelines.</li></ul> Qualifications:<ul><li>Bachelor’s or Master’s degree in&nbsp;Computer Science,&nbsp;Engineering, or a related field</li></ul>

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