Data Engineer – PySpark & Informatica

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.

Requirements

• Strong hands-on experience in: PySpark, Informatica Platform Engineering, Enterprise Data Engineering, Big Data Ecosystems
• Strong expertise in: Data Architecture, Data Strategy & Roadmaps, Enterprise Data Management, Data Warehousing & Analytics Solutions
• Strong understanding of: Dimensional Modeling, Star & Snowflake Schemas, Slowly Changing Dimensions (SCD), Role-playing Dimensions, Dimensional Hierarchies, Data Classification
• Experience transforming traditional Data Warehouse environments into Big Data-based architectures
• Expertise in: Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, Data Archival
• Experience with cloud-native principles, architectures, and deployments
• Strong analytical, troubleshooting, and problem-solving capabilities
• Strong stakeholder collaboration and communication skills
• Experience handling multiple priorities and enterprise-scale projects
• Strong ownership mindset and attention to detail