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Data Engineer
We’re looking for a data engineer with analytics experience to join a small data team and spearhead development on our cloud data lakehouse. The ideal candidate will be adept at working cross-functionally to elicit design requirements from business and technology teams, building robust data pipelines, curating meaningful datasets, and provisioning data for end-users, integrations, and other services.
Key Responsibilities
- Work with business teams to understand current and future data needs and provide mechanisms for constructing and storing datasets to support those requirements.
- Work with the R&D teams to influence the design and implementation of new data models.
- Provide expertise in data movement and storage best practices in support of downstream reporting, analytics, and data science initiatives.
- Help design and optimize the business’ database and table schemas for existing applications and future product development.
- Design, implement, and optimize robust ELT pipelines.
- Populate a cloud data lakehouse utilized by data analysts, data scientists, and BI developers.
Skills and Expertise
- 4+ Years designing data models, building ETL pipelines, and wrangling data to solve business problems.
- 2+ Years developing in Spark, with Databricks experience strongly preferred.
- Working experience within the Azure ecosystem.
- Advanced SQL experience working with relational databases.
- Experience building data pipelines, architectures, and datasets, with preference for Delta Lake multi-hop architecture development experience.
- Knowledge of database and data warehouse design best practices for read/write performance.
- Development experience with either Python or Scala.
- Demonstrated understanding of common BI patterns and tabular modeling, with preference for Microsoft Power BI experience.
Apply now