Data Engineer

Job Summary

A company is looking for a Data Engineer to support a post-merger integration between two tier-1 financial institutions.

Key Responsibilities

• Design and implement low-latency streaming pipelines using Apache Flink and Kafka for banking transactions
• Manage data extraction from legacy systems using Postgres WAL Change Data Capture (CDC) for data consistency
• Build and optimize Lakehouse architectures using Databricks and Snowflake, ensuring compliance with financial regulations

Required Qualifications

• Minimum 5 years of professional experience in Data Engineering, preferably in Financial Services or Fintech
• Expert-level proficiency in Apache Flink, Kafka, and Databricks
• Strong hands-on experience with Postgres (CDC) and Snowflake data warehousing
• Deep understanding of Delta Lake and Lakehouse design principles
• Proficiency in Python, Scala, or Java for streaming applications