Data Engineer
Core
Architect, build, and enhance enterprise-grade data infrastructure and pipelines to deliver high-quality, scalable data for decision-making across IPP plants and commercial partners.
Role type
Senior Data Engineer
Builds
Enterprise data platforms, ELT/ETL pipelines, and Power BI semantic models
Domain
Energy (IPP plants) + Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python (PySpark), Cloud data engineering (AWS/Azure), Medallion Architecture, Data governance, Power BI modeling, ERP/CRM integration
Preferred skills
Databricks, Dynamics 365
Technologies
AWS (Glue, S3, Redshift, Lambda, Step Functions), Azure (ADF, ADLS Gen2, Synapse, Databricks), Power BI, PySpark
Responsibilities
Architect scalable ELT/ETL pipelines; Integrate and transform data from Financial, ERP, CRM, and operational systems; Implement Medallion Architecture patterns; Develop pipeline testing frameworks and data quality monitoring; Build and maintain Power BI semantic models and reports; Optimize cloud resource usage and costs; Engage with stakeholders to translate requirements into technical solutions.
Seniority
Senior, hands-on IC