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Data Engineer

hace 3 meses

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Data Engineer:

What You'll Do:

  • Gathering business requirements and translating them into data requirements
  • Build Databricks & AWS-based technical solutions leveraging a broad range of the available toolsets
  • Act as a team member on projects under the direction of an architect & project manager
  • Implement end-to-end data platform solutions for our clients
  • Develop reports, dashboards, etc.
  • Develop data models
  • Develop data pipelines and data quality checks
  • Author high-quality project documentation and other project artifacts, including written use cases
  • Expand your knowledge in multiple tools and technologies

Qualifications:

  • 8+ years of experience building data solutions on Databricks (AWS)
  • Expertise in designing and implementing logical and physical data models for cloud data warehouse environments
  • ETL/ELT pipelines and tools
  • Implementing data architectures to support a variety of data formats and structures including structured, semi-structured, and unstructured data
  • Experience with multiple full life-cycle data warehouse implementations
  • Understanding of data architectures required to support data integration processing
  • Experience with data modeling technologies such as ER/Studio, ER/Win, or similar
  • Experience with Databricks AND/OR AWS Data Platform services, including SQL database, etc.

Preferred Technical Skills:

  • Experience with integration tools such as Airflow, Data Factory, Logic Apps, etc.
  • Experience creating strategies to migrate customers from on-premise environments to AWS
  • ThoughtSpot, Power BI, or equivalent UI platforms and semantic modeling