Job Summary
The role is responsible for delivering Data Warehouse (DWH) solutions using ETL technologies such as Informatica (IICS/IDMC), Databricks, Spark, PostgreSQL, and Oracle. The role requires strong expertise in ETL development, data warehousing, performance optimization, production support, and solution architecture, while also driving automation and continuous improvement initiatives.
Key Responsibilities
ETL Development: Informatica (IICS/IDMC), Databricks
Database Technologies: PostgreSQL, Oracle, SQL Server, DB2 UDB
Big Data & Querying: Spark SQLProgramming & Scripting: Python, UNIXData Engineering: Data Warehousing, Data Modeling
Database & Query Development
• Develop and optimize SQL, PL/SQL, Spark SQL, Hive, and Presto queries.
• Create and maintain procedures, functions, triggers, constraints, and cursors.
• Perform query tuning and ETL performance optimization.
Data Warehousing & Architecture
• Interpret and work with conceptual, logical, and physical data models.
• Design robust ETL architectures focused on data quality, performance, and error handling.
• Support current-state (""As-Is"") architecture and contribute to future-state (""To-Be"") architecture design.
• Evaluate new technologies and conduct proof-of-concepts (POCs).
SDLC & Agile Delivery
• Execute all SDLC phases including requirements analysis, design, development, testing, deployment, and support.
• Follow SAFe Agile methodology and Guardian development standards.
• Participate in release planning, deployment, migration, and post-production support.