Key Responsibilities Design develop test and maintain ETL pipelines and data integration workflows for extracting transforming and loading data from diverse source systems into data warehouses data lakes and analytical platforms Build and maintain ETL solutions using industrystandard tools such as Informatica PowerCenter IBM DataStage Talend SSIS Apache Spark AWS Glue or Azure Data Factory Develop complex SQL queries stored procedures and database objects for data transformation cleansing and enrichment across relational databases Design and implement data warehouse schemas including star schema snowflake schema and data vault models aligned with business intelligence and reporting requirements Collaborate with data architects business analysts data scientists and reporting teams to understand data requirements and deliver accurate reliable and performant ETL solutions Perform data profiling data quality assessment and data lineage analysis to ensure data accuracy completeness and consistency across integrated data sources Optimize ETL pipeline performance including parallel processing incremental loading partitioning and job scheduling to meet defined data refresh SLAs Monitor ETL job execution identify and resolve data pipeline failures performance bottlenecks and data quality issues in a timely manner Manage ETL code versioning deployment and release management processes using Git and CI CD pipelines Maintain comprehensive ETL documentation including data flow diagrams mapping documents technical specifications and operational runbooks

📌 Etl Developer (Mumbai)
🏢 NEWAGE TECH SOLUTION PRIVATE
📍 Mumbai