2,522 big data jobs in India.

... with Data Engineering teams to resolve data-quality issues and conduct root-cause analysis. Continuously improve analytical processes, dashboards, models, and data-driven decision-making practices. 3+ years of experience in Data Analytics, Business Analytics, Data Science, or a related field, preferably within a product-driven ...

Job Title : Data Architect Key Responsibilities :- Design, define, and govern the enterprise data architecture, including data lakes, data warehouses, data marts, and operational data stores (ODS), contributing to the definition and evolution of Client's data strategy. - Establish and maintain data architecture standards ...

... large-scale data systems. - Strong proficiency in SQL for data manipulation and Python for data pipeline development. - Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred). - Hands-on experience with the modern data stack, specifically: - Data Warehousing: Snowflake - Data Transformation: ...

... access and environment requirements.- Develop data engineering solutions using PySpark, ASQL, Databricks, and SQL.- Perform data analysis, data profiling, and data quality assessments.- Use data modeling tools to design and maintain enterprise data models.- Prepare key data modeling deliverables including STTM, data models, ...

... years of experience in data management 2+ years of in-depth technical knowledge/expertise in the following Python, Azure services; Azure Data Lake, Azure SQL Data Warehouse/DB, Azure Data Factory, Blob Storage - Experience of at least 2 to 3 projects - Python knowledge and experience for automation - Experience on Data ...

... https://jobeax.com/link/ZxjpPrDBru7W4ePm Skills :- Data Engineering / Data Architecture- ETL/ELT Pipeline Development- Apache Spark / Databricks- SQL / Python- Data Warehousing / Data Modeling- Data Quality / Governance- Streaming Data Processing- Azure Data Factory (ADF)- Azure Synapse Analytics- Azure Data Lake Storage ...

... 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 ...

... Successful in This Role:- Minimum 5 years of experience in software development and system design.- Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration.- Expertise in Snowflake or similar MPP databases.- Strong SQL skills.- Experience with multiple database technologies ...

... recommendations to stakeholders.- Collaboration: Partner with cross-functional teams to understand business requirements and deliver data-driven solutions.- Data Governance: Maintain high standards of data accuracy and integrity across reporting systems.- Data Visualization: Experience with data visualization tools such ...

... metadata platforms - Experience supporting data lake, warehouse, or enterprise data platform initiatives Enterprise data modeling - Financial domain knowledge - Data quality and governance alignment - Business-to-data translation - Financial data structures - Fund / LP / GP data models - SQL / NoSQL schema design Bachelor’s ...

... 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 ...

... 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 ...

... Azure, AWS, GCP(preferred) Understanding of data warehousing, ETL/ELT, data integration, and data lake/lakehouse architectures . Knowledge of metadata management, data lineage, master/reference data, and data governance principles . Ability to translate business terminology and processes into structured data definitions and ...

... 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. ...

... https://jobeax.com/link/GshKlDUmwwtLAVkU Requirements :- Strong proficiency in Python and ML/DS libraries (Pandas, scikit-learn, PyTorch/TensorFlow, XGBoost/LightGBM).- Strong SQL and data wrangling skills; experience with Spark/Databricks is a plus.- Hands-on experience with API-based deployments and cloud-native architectures.- Experience with ...

... https://jobeax.com/link/qShIj7SxXkxvoFT9 ideal candidate will have hands-on experience with Azure-based data 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 ...

- Design, develop, and maintain scalable data transformation and analytics pipelines using Snowflake, SQL, Python, and dbt. - Perform data extraction, cleansing, preprocessing, validation, and transformation from multiple data sources. - Develop complex and optimized SQL queries, stored procedures, views, and data models ...

... Azure, AWS, GCP(preferred) Understanding of data warehousing, ETL/ELT, data integration, and data lake/lakehouse architectures . Knowledge of metadata management, data lineage, master/reference data, and data governance principles . Ability to translate business terminology and processes into structured data definitions and ...

... ETL/ELT data pipelines using Azure and Databricks.- Develop and optimize data processing solutions using PySpark.- Build and manage data pipelines using Azure Data Factory (ADF).- Work with Databricks for data ingestion, transformation, processing, and optimization.- Write complex and optimized SQL queries for data extraction ...

... architectures, orchestration patterns, Responsible AI, model validation principles, and enterprise AI governance. Strong hands-on development skills for AI and data science solutions, including Python, AI/ML and data science libraries, APIs, SQL/NoSQL databases, data pipelines, and modern application development practices. ...