21,095 data science machine learning jobs in India.

... analytical, problem-solving, and stakeholder management https://jobeax.com/link/DkPro09N04CD2GIL is in it for you :- Opportunity to work on large-scale cloud data engineering projects.- Exposure to modern Azure and Databricks technologies.- Collaborative and innovation-driven work culture.- Excellent learning and career ...

... production-ready Tableau dashboards. ~ Data Querying (Mandatory): Expert-level command of SQL for data extraction and manipulation. - Proven experience working with data in the Fintech, Banking, or Financial Services sectors. - Soft Skills: Proven ability to engage with non-technical business leaders to understand their data needs ...

... bringing passion and customer focus to the business. Data Engineer (data integration and streaming platforms) Data Engineer with strong experience in event-driven data integration and streaming platforms, ideally with hands-on expertise in Confluent Kafka and CDC technologies. Experience Strong Data Engineering background, including ...

... processes. - Experience translating business requirements into features, user stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization ...

... and data quality to ensure accuracy and availability.- Contribute to documentation and adhere to data engineering best practices.- Support the team in various data-related tasks and be eager to learn new technologies and https://jobeax.com/link/b4yK9UFTLnSjLxNr Qualifications:- Bachelor's degree in Computer Science, Information ...

... focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers - Hands-on experience ...

... Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data warehouses, data lakes, and data models. Develop highly available data ingestion and processing systems for large datasets. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, performance, reliability, ...

... collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering ...

Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...

... Experience implementing large-scale distributed systems in collaboration with more senior team members Knowledge and hands-on experience in technologies across all data lifecycle stages BS degree in computer science or related field or equivalent knowledge and experience No prior experience in the energy industry required Our ...

... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...

... analytical, problem-solving, and stakeholder management https://jobeax.com/link/DkPro09N04CD2GIL is in it for you :- Opportunity to work on large-scale cloud data engineering projects.- Exposure to modern Azure and Databricks technologies.- Collaborative and innovation-driven work culture.- Excellent learning and career ...

... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...

... Data Catalog, DataHub, or Amundsen is a plus. - Familiarity with Docker, ECS, or EKS and containerised deployments is desirable. - Basic understanding of AI/ML data requirements and workflows is an advantage. - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline is ...

... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...

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... non-technical stakeholders why data is or is not ready, and that conversation matters as much as the pipeline. Useful, Not Essential - Manufacturing or industrial data experience - Kafka, Debezium or other change-data-capture tooling - Metadata catalogue and governance tooling - Experience defining acceptance criteria on a client ...

... others. Required qualifications and experience: - Bachelor's degree in a relevant field, such as Life Sciences or Healthcare. - Proven experience in clinical data management within the pharmaceutical or biotechnology industry. - Familiarity with data management software and systems (e.g., Medidata, Oracle RDC, or similar). ...

Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...

... collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering ...