Senior Data Engineer

Thomson Reuters

Not specified; not specified; comprehensive benefi...
Hybrid
7+ years of data engineering experience
Aws glue hands-on expertise required
Python and spark proficiency
The role involves leading the development of complex data pipelines within the Enterprise Data Lake to facilitate faster time to market for reporting and analytics

Job Summary

  • The role involves leading the development of complex data pipelines within the Enterprise Data Lake to facilitate faster time to market for reporting and analytics.
  • Candidates must have deep expertise in distributed data systems design and the ability to evaluate AI and automation tools for specific data engineering use cases.
  • Thomson Reuters offers a flexible hybrid work model, comprehensive benefits including mental health days, and opportunities for career growth in an AI-enabled future.

Matching Summary

The role involves leading the development of complex data pipelines within the Enterprise Data Lake to facilitate faster time to market for reporting and analytics.

Salary

Not specified; Not specified; Comprehensive benefit plans including vacation and retirement savings

Skills & Requirements

Must-have

  • 7+ years of data engineering experience
  • AWS Glue hands-on expertise required
  • Python and Spark proficiency
  • Snowflake database management
  • ETL/ELT pipeline development
  • CI/CD deployment processes
  • Data modeling and governance

Nice-to-have

  • Informatica tool experience
  • AI-powered automation tools
  • Mentoring junior engineers
  • Agile iterative delivery
  • Stakeholder management skills
  • DBT transformation knowledge
  • Terraform infrastructure experience

Key Requirements

  • 7+ years demonstrated expertise
  • Hands-on AWS Glue experience mandatory
  • Proficiency in SQL and Python
  • Experience with semi-structured data sources
  • Knowledge of data governance standards

Work Rights

Not specified

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