Spark & Databricks Data Engineer — ETL Pipelines (Hybrid)

HCLTech; Paris; Hybride; EUR 65 000 - 100 000; Plein temps

Résumé du poste

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.

Qualifications

• Strong experience in data engineering or big data development.
• Hands-on experience with Spark, PySpark, Databricks or equivalent big data technologies.
• Strong SQL skills and good knowledge of data transformation principles.
• Experience designing and maintaining ETL / ELT pipelines.
• Good knowledge of Python for data processing or automation.
• Understanding of data quality, monitoring and operational support activities.
• Ability to troubleshoot data pipeline issues and optimize performance.
• Strong communication skills in English.

Responsabilités

• Design, develop and maintain scalable data pipelines and data integration workflows.
• Implement ETL / ELT processes using Spark, PySpark, Databricks or equivalent technologies.
• Work with structured and semi-structured data from multiple enterprise sources.
• Support data quality controls, monitoring, troubleshooting and performance optimization.
• Contribute to data modeling, data transformation and dataset documentation.
• Collaborate with business, data, architecture, application and production teams.
• Support production incidents, technical investigations and continuous improvement actions.
• Document data flows, technical procedures and operational standards.

Connaissances

Spark

PySpark

Databricks

SQL

Python

ETL/ELT

Data quality

Data modeling

English communication

Outils

Airflow

Description du poste

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.