Data Engineer - Databricks
Core
Design, develop, and maintain data products and scalable ETL/ELT pipelines to support reporting, analytics, and operational decision-making for a major nuclear power plant project.
Role type
Data Engineer (Databricks)
Builds
Production data products, curated datasets, and scalable data pipelines for project performance reporting.
Domain
Nuclear engineering / Energy / Infrastructure
Deliverable
production ML models | product features
Required skills
Databricks, PySpark, Spark SQL, SQL, ETL/ELT pipeline development, data modeling, data quality/reconciliation, Power BI
Preferred skills
Databricks certification, experience in construction/infrastructure/energy/regulated industries, IMS governance frameworks, Python automation, Agile methodologies
Technologies
Databricks, Microsoft Azure, SQL Server, Azure DevOps, Power BI, Python
Responsibilities
Design and maintain data products using Databricks and Azure; Build scalable ETL/ELT pipelines; Develop data transformations using PySpark and SQL; Implement data quality and monitoring processes; Optimize data pipelines for performance and cost; Collaborate with Data Architects and Performance Analysts; Translate business requirements into technical solutions.
Seniority
Mid-level, hands-on IC
