- 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.
- Strong 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.
- Good 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