Data Engineer
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Summary
Build and maintain scalable data pipelines and Python-based workflows to process renewable energy time-series data for forecasting and optimization.
Role Overview:
To build and operationalize data-driven solutions for renewable
energy assets by developing scalable data pipelines and applications to support
forecasting, optimization, and visualization initiatives.
Key Responsibilities:
Data Engineering & Pipeline
Development
- Build and maintain automated data
pipelines
- Work with APIs and databases
- Develop Python-based workflows
Data Quality & Validation
- Ensure data accuracy and completeness
- Implement monitoring and validation
checks
Automation
- Automate manual workflows
Stakeholder Collaboration
- Translate business requirements into
data solutions
Documentation
- Maintain documentation of data logic,
workflows, scripts, data sources, and process dependencies.
Requirements
Required Skills:
- Python, SQL
- Azure / GCP
- ETL pipelines, APIs
Domain Skills:
- Time-series data analysis
Good to Have:
- Renewable energy systems knowledge
Benefits
- Opportunity to work with a dynamic and fast-paced engineering IT organization.
- Be part of a company that is passionate about transforming product development with technology.