Spark & Databricks Data Engineer — ETL Pipelines (Hybrid)
HCLTech · Paris, France ·
- Work mode
- Hybrid
- Category
- Data engineering
Design, develop and maintain scalable big-data ETL pipelines and data platforms for enterprise analytics at HCLTech in Paris, focusing on ingestion, transformation, quality and delivery of reliable datasets. Core stack is Spark, PySpark, Databricks, SQL and Python, in a hybrid Paris-based team.
HCLTech in Paris is seeking a Data Engineering & Large Big Data Engineer to design, develop and maintain scalable data pipelines and data platforms for enterprise analytics. You will focus on ingestion, transformation, quality, and delivery of reliable datasets across business units.
The role requires Spark, PySpark, Databricks experience, strong SQL and Python, and collaboration with cross-functional teams. Hybrid work in Paris, availability for production support and continuous improvement.