Data Engineer (Databricks) — Risk Analytics Pipelines
Summary
Design, build, and optimize scalable batch and real-time data pipelines and data products supporting enterprise credit risk analytics, with a focus on data quality, observability, and platform reliability. Core stack is Databricks, Spark, PySpark, SQL, and Python, working closely with Risk, Product, Data Science, and Engineering teams.
HCLTech is seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and data products supporting enterprise credit risk initiatives.
The role focuses on batch and real-time data processing using Databricks, Spark, PySpark, SQL, and Python, with emphasis on data quality, observability, and platform reliability. Collaboration with Risk, Product, Data Science, and Engineering teams is essential.