Senior Data Engineer

Experienced Senior Data Engineer (12+ Years)  to support large‑scale data platform modernization initiatives within a regulated banking environment. 

The role focuses on designing and building enterprise-grade in-house frameworks, supporting high-volume batch and CDC-based incremental processing using the Cloudera platform, and enabling ongoing Google Cloud Platform (Google Cloud Platform) modernization efforts.

Technology & Skill Requirements

• Apache Spark (PySpark and/or Scala) in large-scale production environments
• Cloudera Hadoop ecosystem (HDFS, Hive, YARN, Spark on Cloudera)
• Strong SQL expertise with complex transformations, performance tuning, and reconciliation logic
• Enterprise RDBMS experience with Oracle and MS SQL Server
• Batch ingestion, incremental ingestion, and CDC processing patterns
• CDC concepts and tooling (tool-agnostic: GoldenGate, Debezium, or equivalent)
• Data merge, deduplication, watermarking, checkpointing, and SCD handling
• Google Cloud Platform services including Dataproc , Composer and Dataplex
• Hybrid on‑prem to cloud data architecture and migration patterns
• Metadata-driven framework development and data quality validation techniques
• CI/CD pipeline implementation using enterprise tooling (GitHub Actions, Jenkins, DevOps)
• Git-based development workflows, code reviews, and automated testing practices
• Experience using Copilot or similar AI-assisted development tools safely and effectively in enterprise environments
• Logging, monitoring, alerting, and operational readiness practices
• Secure coding, access control, and compliance-aware development
• Documentation of design artifacts, runbooks, and operational procedures