Data Scientist
7 days ago
Key Responsibilities:
- Discover and acquire new data sources, utilizing technology to automate acquisition and linking new sources with internal data.
- Ensure quality and understanding of analytical data by investigating data issues and seeking resolution or acceptance.
- Create documentation, leverage standards, and build upon them, reconciling and documenting data at various stages for integrity.
Partnerships and Governance:
- Contribute to the development of governance and rigor of data management practices within the Data Sourcing & Solutions Team.
- Partner with enterprise IT groups and participate in enterprise data-related functions.
Required Skills and Abilities:
- Sound understanding/experience of Python, Spark, Databricks PySpark/Spark SQL, and best practices.
- Effective SQL Skills knowledge is required.
- Data development experience using data development/analysis tools.
- Expertise in Star Schema data modeling.
- Experience working on building/optimizing logical data models and data pipelines while delivering high-data-quality solutions that are testable and adhere to SLAs.
- Development experience using R (data structures, Plumber, Shiny) is a plus.
- Familiarity with developer support tools (TFS/GIT, Jenkins) is a plus.
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