Data Engineer
Core
Design, build, and maintain scalable data pipelines and platforms to ensure data availability, quality, and reliability for data-driven decision-making.
Role type
Data Engineer
Builds
Scalable data pipelines, data integration workflows, and modern data platforms
Domain
Energy, Chemicals, Low Carbon Solutions
Deliverable
production ML models | product features
Required skills
SQL, Python, cloud data platforms (Databricks, Snowflake), data integration tools (Azure Data Factory), relational databases, data modeling, version control (Git), troubleshooting
Preferred skills
DBT, CI/CD (GitHub Actions, YAML), PI historian technology, data visualization (Power BI, Tableau), data governance
Technologies
Databricks, Snowflake, Azure Data Factory, Git, GitHub Actions, YAML, Power BI, Tableau, PI historian
Responsibilities
Design and build data pipelines; ingest and transform data from multiple sources; ensure data quality and consistency; collaborate with BI and business teams; monitor and troubleshoot pipelines; contribute to platform scalability and performance
Seniority
Mid-level to Senior, hands-on IC