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Nordex

Open 17d

Specialist- Data Engineer

Posted Updated 10 views
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Summary

Nordex, a wind turbine manufacturer, seeks a Data Engineer in Chennai to build and maintain data pipelines for wind measurement and master data, develop data models, and ensure data quality and governance. Core stack includes SQL Server, SSIS/SSAS, Azure Data Factory, Databricks (Spark, Delta), and Python.

YOUR TASKS:

  • 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 andunstructured data
  • Perform analysis and troubleshooting to identify and resolve issues with data pipelines andinfrastructure
  • Implement data quality and governance processes to ensure the accuracy, consistency, and reliabilityof data

YOUR PROFILE:

  • 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

Nordex adheres to a policy of equal employment opportunity. All employment decisions are made without regard to religion, age, sex, color, national origin, handicap, or other protected class and in full compliance with all federal and state laws.

The role is generally available on a full-time basis as well as in other flexible working-time models.

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