We are looking for a highly skilled Data Engineer with strong expertise in PySpark and Informatica Platform Engineering to support enterprise‑scale Digital Products and Digital Onboarding initiatives.

The ideal candidate should have strong experience in enterprise data engineering, big data ecosystems, data architecture, and modern data management practices within large and complex environments, preferably in banking or financial services.

• Design and develop scalable enterprise data engineering solutions using PySpark and Informatica platforms
• Build and model Raw Data Vault structures with strong understanding of:
  • Source system data structures
  • Data retention policies
  • Data partitioning strategies
• Drive data reusability and reduce data duplication while optimizing performance
• Define and implement enterprise data architecture standards and best practices