Data Engineer

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