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 teams

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 teams.
  • Candidates must possess deep expertise in distributed data systems design and cloud-based infrastructure with mandatory hands-on experience in AWS Glue.
  • Thomson Reuters offers a flexible hybrid work model, comprehensive mental health benefits, and opportunities for continuous learning 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 teams.

Salary

Not specified; Not specified; Comprehensive benefit plans including vacation and tuition reimbursement

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 evaluation
  • Mentoring junior engineers
  • Agile iterative delivery environment
  • Stakeholder management skills
  • DBT transformation knowledge
  • Terraform infrastructure experience

Key Requirements

  • 7+ years demonstrated expertise
  • Senior Data Engineer title match
  • Hands-on AWS Glue experience
  • Proficiency in SQL and Python
  • Experience with semi-structured data

Work Rights

Not specified

Tailored Resume

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