Senior Data Engineer

Wolters Kluwer N.V

Onsite
7+ years data engineering experience
5+ years building data pipelines
2+ years big data technologies pyspark hadoop kafka
The role involves designing and developing highly optimized, reliable, and secure enterprise-level data pipelines for real-time and batch processing

Job Summary

  • The role involves designing and developing highly optimized, reliable, and secure enterprise-level data pipelines for real-time and batch processing.
  • Candidates will partner with data scientists and business stakeholders to operationalize machine learning models while championing data governance.
  • The position requires mentoring junior engineers and contributing to technical documentation and knowledge sharing across the team.

Matching Summary

The role involves designing and developing highly optimized, reliable, and secure enterprise-level data pipelines for real-time and batch processing.

Skills & Requirements

Must-have

  • 7+ years data engineering experience
  • 5+ years building data pipelines
  • 2+ years big data technologies PySpark Hadoop Kafka
  • 3+ years relational dimensional data modeling SQL Server
  • 3+ years T-SQL stored procedures performance tuning
  • 3+ years Azure Data Factory Azure Data Lake Azure Synapse

Nice-to-have

  • Azure ML Python Scala experience
  • Power BI Azure Analysis Services knowledge
  • Agile Scrum methodologies DevOps practices
  • CI/CD pipelines Git version control
  • Azure Data Engineer Certification
  • Mentoring junior engineers

Key Requirements

  • Bachelor's degree in computer science or equivalent
  • 7+ years overall experience in data engineering
  • Azure Data Engineer Certification preferred

Work Rights

Not specified

Tailored Resume

Cover Letter