Build and maintain data pipelines to transform, process and ingest wind measurement and master data from multiple sources and data formats to drive analytical insights.
Develop and optimize data models and schemas for storage and retrieval of structured and unstructured data
Perform analysis and troubleshooting to identify and resolve issues with data pipelines and infrastructure
Implement data quality and governance processes to ensure the accuracy, consistency, and reliability of data

University degree in computer science, Engineering, or a related technical field
8 – 10+ year experience as a data engineer or in a similar data-intensive role
Proficient knowledge in ETL, Data Lake, and data warehousing
Proficient knowledge/skills: in SQL and relational databases preferably SQL Server, SSIS, SSAS (OLAP Cubes), ADF
Good programming skills in languages such as R, Python, Scala, Databricks (including spark, delta tables, unity catalog)
Knowledge in data governance, security, architecture
Experience with CI/CD workflows preferably azure devOPS and git
Strong problem-solving and analytical skills with attention to detail
Wind industry or Renewable is added advantage
Good stakeholder management, excellent communication and interpersonal skills to collaborate with internal and external stakeholders.

Data Engineer

Key skills