September 20
• Responsible for expanding and optimizing data and data pipeline architecture. • Ensure consistent delivery, integrity, and quality to define a single source of truth. • Design, create, and maintain optimized systems for collecting, moving, storing, and organizing data at scale. • Design and support of data pipelines and data stores that are secure, high-performing, efficient, organized, and reliable. • Knowledge of data security strategies to assure data confidentiality. • Work closely with other developers, internal stakeholders, and third parties. • Support analysts and super users with accessing data through analytics tools including Excel, Power BI. • Design, develop and maintain data structures that are intuitive to consume by analysts and data SMEs.
• 5+ years of relevant work experience in Data Engineering / Data analytics • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. • Experience with data pipeline and workflow management tools: Azure Data Factory, etc. • Data modeling, UML, ERDs, and workflow diagrams • Experience with Agile methodology and Azure DevOps • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. • Strong analytical skills related to working with unstructured datasets. • Strong project management and organizational skills • Intermediate level SSIS skills (or other ETL technology) (3+ years desired) • Experience with scripting languages like PowerShell, Python, or C# • Data Analytics tools experience required: Power BI preferred.
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