1,989 data scientist jobs in India.

... data from various sources to internal databases. DATA INFRASTRUCTURE: Influences the construction and optimization of data infrastructure, providing appropriate data formats to ensure data readiness for analysis. DATA FORMATS: Examines and sees improvement opportunities for appropriate data formats to optimize data usability ...

... (e.g., Salesforce) and related data flows Use Python or ETL tooling for profiling, wrangling, and repeatable data quality checks Demonstrate understanding of data governance, data ethics, and responsible data use in regulated environments Embrace a growth mindset and continuous learning of modern data patterns and tooling

... competitive advantage. Band: M3/M4 (6 to 14 years) Should have experience in PySpark and Scala + Spark for 4+ years (Min experience). Proficient in debugging and data analysis skills. Should have Spark experience of 4+ years Should have understanding of SDLC and Big Data Application Life Cycle Should have experience in GIT ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... independently. Analyzes data sources for profiling the data to ensure pipeline build success. Defines success and failure thresholds for data collection pipelines. Data Processing & Pipelining - Data Governance: Implements data governance policies and procedures for data handling (e.g., data retention) to manage data consistency, ...

... versus building data pipelines in Apache Airflow. Ensure that data extraction jobs run successfully daily. Collaborate with engineers from MarTrust to add new data sets to our data extraction jobs. Data warehousing in BigQuery Ensure that the data in our data warehouse is kept secure and that daily jobs in BigQuery run successfully. ...

... REST/SOAP APIs and Python within the Google Cloud Platform (GCP). The Senior Data Engineer will build and manage scalable data pipelines using tools such as Dataform, Airflow, Cloud Run Functions, and Workflows, with infrastructure managed as code via Terraform, ensuring seamless access to data for analytics, business ...

We are looking for a highly skilled and hands-on Data Engineer to own the design, development, and operation of large-scale data platforms and capabilities. You will work closely with Applied Scientists, ML Engineers, Product Managers, Analytics teams, and Platform Engineers to build reliable data pipelines, feature stores, ...

... will partner closely with divisional and functional Data Management Offices (DMOs), business leaders, and IT teams to drive execution of a broad portfolio of data initiatives spanning data strategy, data governance, data quality, data stewardship, data architecture, and data integration . The Data Program Manager will be ...

... business teams Define long-term data strategy and roadmap 8+ years of experience in data engineering/data architecture. - Proven experience designing large-scale data platforms. - Strong SQL and Python/Scala skills. - Experience handling TB-PB scale datasets. - Strong understanding of data modelling (dimensional + data vault). ...

... https://jobeax.com/link/1nhquhtB7fyUWtVJ & Data Engineering Skills :- AWS : S3, Lambda, Glue, Athena, RDS, ECS, CloudWatch- GCP : Cloud Storage, Cloud Functions, Dataflow, BigQuery, Pub/Sub, Cloud Run- Data ingestion pipeline development- Batch and streaming data workflows- Data modeling and warehouse conceptsDevOps Skills ...

... inquiries related to Addepar’s portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...

... monitoring and logging tools CloudWatch, ELK, Grafana, or Prometheus. - Understanding of cloud security fundamentals (IAM, VPC, encryption). - Knowledge of metadata management and Relational/NoSQL databases. Good-To-Have Skills: - Python automation and scripting knowledge. - Healthcare compliance knowledge. - Cigna experience ...

... operational excellence that makes a real difference in organizational performance. As a Associate Clinical Data Team Lead, you will act as the assistant lead data manager for one or more projects, supporting the lead data manager by performing assigned tasks in study setup, data cleaning, database close-out, and other associated ...

... to multi-task and manage data feed configurations and date point mapping development. Plan and establish timelines to meet or exceed business expectations for data feed configurations and date point mapping development. QC data feed configurations and date point mappings. Complete mandatory Quality Assurance training sessions. ...

... and data processing frameworks. Key responsibilities Design and implement data pipelines using AWS services and PySpark. Develop and optimize SQL queries for data extraction and transformation. Monitor and maintain data workflows in Apache Airflow. Collaborate with data scientists and analysts to understand data requirements. ...

... platforms, data pipeline automation, dataset management, data quality, and enterprise data engineering practices. The role requires close collaboration with Data Scientists, ML Engineers, and regional teams to ensure reliable data availability, efficient data refresh cycles, and operational excellence across production data https://jobeax.com/link/7yDwjVoYn8HZ8pTw ...

Role : Data Architect / ManagerExperience : 10-15 YearsLocation : Bengaluru (Remote)Notice Period : Immediate or max 15 days preferredKey Responsibilities : 1. Delivery Management : - Lead multiple delivery pods across AI, Data Engineering, and Analytics projects.- Own sprint planning, backlog management, delivery quality, ...

... Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. - Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA ...

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