Data Engineer - Secteur de l'Energie (H/F)
Core
Design, develop, and optimize large-scale data pipelines to transform raw data into actionable insights for the energy sector.
Role type
Data Engineer
Builds
Data pipelines (batch and streaming), data infrastructure, and reliable data assets for Data Science and Analytics teams.
Domain
Energy sector, Cloud Data Engineering
Deliverable
production ML models
Required skills
Apache Spark (PySpark/Scala), Databricks, AWS (S3, Glue, EMR, Lambda, Redshift), SQL, Data Modeling, Workflow Orchestration (Airflow, Step Functions), Data Quality (cleaning, validation, monitoring)
Preferred skills
AWS Data Analytics or Solutions Architect certification
Technologies
Apache Spark, Databricks, AWS, Airflow, Step Functions, Delta Lake, Spark SQL
Responsibilities
Design and maintain batch and streaming data pipelines; Optimize data processing performance on Databricks; Deploy and manage AWS infrastructure; Automate data workflows; Collaborate with Data Science and Analytics teams; Ensure data quality and participate in data architecture evolution.
Seniority
Mid-Senior (3+ years experience)
