Senior Data Engineer

Skills
AdoptionBusiness IntelligenceConsumer TextilesLaw EnforcementModelingOptimizationProcess Optimization
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 7+ years of hands-on Data Engineering experience
  • 5+ years with cloud platforms such as AWS and Azure
  • Mastery of Python and advanced SQL
  • Experience designing CI/CD pipelines and Infrastructure as Code
  • Deep expertise in ETL ELT optimization dimensional modeling and data security
  • Expertise across 3 to 5 major cloud and data platforms including AWS GCP Azure Snowflake Databricks and Fabric
  • Proven consulting experience with client-facing technical leadership
  • Excellent verbal and written communication skills

Nice to have

  • Expert-level
  • Client-first
  • Builder-led
  • Cross-functional
  • Consultative

Day to day

  • Define and implement scalable data architecture for client platforms and pipelines.
  • Lead the adoption of cloud-native managed and serverless solutions across lakehouses and warehouses.
  • Drive advanced ETL and ELT practices while enforcing data governance data quality and security standards.