Data Engineer

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:

• 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.