Key Responsibilities Design and develop a data lakehouse solution using Apache Iceberg and Apache Spark Enable high-performance Treasury analytics integrating financial datasets and reporting engines Work with AWS services to create secure and scalable infrastructure Use Docker and containerized workflows to ensure smooth deployment and team collaboration Collaborate with Treasury SMEs and other engineers to translate functional goals into technical execution Required Experience Skills 8 years in data engineering including domain exposure to Treasury or finance Deep expertise with Apache Spark Iceberg ETL frameworks and distributed computing principles Robust experience with AWS services for data orchestration and transformation Solid grasp of Docker-based environments and cross-team development practices Bonus Experience with data lakehouse related technologies such as AWS Glue Nessie or Trino Bonus Familiarity with financial instruments liquidity models or regulatory requirements

📌 Data Engineer India Pune 8+yrs..., 1position
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