- 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 tool 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
Requirements
None
Benefits
Vacaciones / Flexibilidad de Trabajo - Trabajo Remoto: Globalmente remoto
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Descripción
About The Position
Data Engineer:
What You'll Do: