6+ years of experience in Data Engineering or related roles.
Robust hands-on experience with PySpark for large-scale data processing.
Solid experience with Informatica BDM (Big Data Management).
Experience working with Big Data technologies and distributed data processing frameworks.
Solid knowledge of SQL and data modeling concepts.
Experience with data integration, ETL development, and workflow orchestration.
Familiarity with cloud platforms or big data ecosystems (Hadoop/Spark environments) is a plus.
Valuable understanding of data governance, security, and compliance requirements in banking.
Domain Requirement: Mandatory experience in the Banking or Financial Services domain, preferably working with enterprise data platforms, regulatory reporting systems, or large-scale financial datasets.
Preferred Qualifications: Experience with data lake architectures and data warehouse platforms. Exposure to Agile development methodologies. Knowledge of Python-based data engineering frameworks and automation.

📌 Data Engineer With Pyspark & Informatica Bengaluru
🏢 Insights Techhub International Private
📍 Bengaluru