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Data Engineer II

Skills
DevopsMobile ApplicationsData WarehousingECSGPPModelingPath Analysis
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 3+ years in data engineering
  • Strong Python skills with optimization awareness
  • Strong SQL skills including CTEs and window functions
  • Experience in cloud environments AWS preferred
  • Experience managing complex dbt environments
  • Understanding of data structures for internal and external analytics
  • Familiarity with API data retrieval and authentication
  • Experience working with DevOps for deployment scaling and monitoring
  • Scheduler experience traditional or DAG based
  • Experience with LM-powered code generation documentation and diagramming tools
  • Comfortable with multi-TB cloud data warehouses Snowflake preferred
  • Experience with other DBMS systems especially Postgres
  • Ability to travel up to approx 15%

Nice to have

  • Self-healing mindset
  • Technical leadership
  • Quality-focused
  • Collaborative
  • Analytical

Day to day

  • Build and maintain scalable data infrastructure that supports analytics and application use cases
  • Develop resilient Python and SQL pipelines on AWS with strong data quality and security controls
  • Collaborate with analysts analytics engineers and other teams to standardize transformations optimize queries and improve tooling