Senior Data Engineer
Core
Design, build, and maintain scalable data pipelines and data models to empower data analysts, management information, and data science initiatives while driving business growth and operational efficiency.
Role type
Senior Data Engineering Leader (hands-on IC with mentorship)
Builds
Scalable ETL pipelines, data products for advanced analytics and machine learning, and refined data architecture
Domain
Energy sector, cloud data engineering, big data
Deliverable
production ML models | product features | infrastructure
Required skills
Data pipeline development, data modeling, data warehousing, cloud data engineering, big data technologies, Python, PySpark, Scala, ETL pipeline development, mentoring
Preferred skills
Data architecture design, data quality audit implementation, emerging technology adoption, project leadership
Technologies
AWS, Azure, Microsoft Fabric, Databricks, Hadoop, Spark
Responsibilities
Build and maintain robust Extract, Transform and Load (ETL) data pipelines; Implement data quality audits and validation processes; Collaborate with Analysts and Scientists to create data products; Design and refine data architecture; Enhance data extraction and storage efficiency; Troubleshoot data-related issues; Establish and maintain thorough documentation; Grow, develop, and retain top talent; Share Data Engineering expertise with colleagues
Seniority
Senior, hands-on IC with mentorship
