Role & responsibilities :

Develop, maintain, and optimize data integration and transformation pipelines using Informatica PowerCenter / Informatica Cloud (IICS), AWS Glue, and Spark.
Analyse existing data models and implement performance improvements to accelerate data ingestion and consumption, particularly across AWS RedShift, S3, Informatica, and Tableau layers.
Build and evolve ETL/ELT pipelines and ensure datasets are structured, validated, and ready for business consumption in Tableau Data Source layer.
Support client and business applications in accessing platform data while enforcing data governance, security, and best practices.
Participate in platform monitoring, troubleshoot issues, debug data defects, and ensure system reliability and availability.

Preferred candidate profile :





Primary Skills:
Solid hands-on experience in Informatica PowerCenter / Informatica Cloud for enterprise ETL development.
At least 5 years of experience in data lake and BI development.
Solid expertise in SQL, relational databases, data warehouse, and data management concepts.

Preferred Knowledge:
Experience with AWS Big Data services (S3, RedShift, Glue, EMR/Spark).
Knowledge of data warehouse design, dimensional modelling, and BI data structures.
Experience using Tableau for reporting, visualization, and analytical insights.

📌 Data Engineer Bengaluru (India)
🏢 Quess
📍 India