Big Data Engineering Lead

VALCE T@lent Solutions

WorldwideFully remoteFull TimeLeadInformation Technology
No salary statedPosted 3w ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 22 days ago · apply link checked 4 hours ago

About the role

Responsibilities

  • Lead the technical leadership, engineering delivery, and quality of the Data Foundation platform
  • Build and maintain enterprise data pipelines, data products, canonical data models, and data services
  • Partner with Service Owner, Architecture Team, and Platform Engineering Lead to deliver scalable, trusted, and maintainable data solutions
  • Accountable for engineering execution, solution quality, and operational reliability
  • Develop a high-performing data engineering team

Requirements

  • 8+ years of experience in data engineering, software engineering, or enterprise data platform development
  • 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives
  • Advanced SQL and data modeling expertise
  • Strong Python and PySpark development experience
  • Deep understanding of ETL and ELT architecture patterns
  • Experience implementing Master Data Management solutions
  • Experience building RESTful APIs and data services
  • Familiarity with GraphQL and modern integration approaches
  • Understanding of microservices-based architectures
  • Experience implementing event-driven and real-time data processing solutions
  • Strong understanding of data quality frameworks, metadata management, and data lineage concepts

What we look for

  • 8+ years in data engineering or software engineering
  • 3+ years technical leadership experience
  • Advanced SQL and data modeling
  • Strong Python and PySpark
  • ETL/ELT architecture patterns
  • Master Data Management experience
  • RESTful APIs and data services
  • GraphQL and modern integration
  • Microservices-based architectures
  • Event-driven and real-time data processing
  • Data quality frameworks and metadata management
PythonPySparkSQLETLELTAPIGraphQLmicroservices
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