Remote
34 days ago
AWS Data Engineer
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Essential Duties and Responsibilities:

Deliver analytic solutions by provide input to prioritized roadmaps, develop work estimates, and ensure successful delivery to support strategic planning and initiatives, improve organizational performance, and advance progress towards Enterprise Data Foundation goals Leverage knowledge and skill with a variety of data engineering, data operations, and data warehousing methodologies, techniques, tools, and platforms to transform large quantities of data from multiple sources Design, create, test, deploy and maintain data pipelines that deliver curated, value-added data assets such as data marts and other purpose-built data stores Ensure data pipelines are optimized, highly reliable, and contain low technical debt Use knowledge of healthcare industry, clinical and business workflows and activities, to inform solution design and development to execute high-quality or differentiated solutions in an established problem space Advances the continuous integration and continuous delivery (CI/CD) model Design and develop a data reporting environment across organizational data systems Lead consistent adherence to the Software Development Life Cycle framework and governance processes including, but not limited to: leading planning sessions, collecting and documenting requirements, identifying design patterns, create and define custom transformations, aggregations, and other data manipulations, developing data pipelines, creating documentation, developing test plans, performing unit testing, conducting peer review sessions, migrating deliverables to production, participating in production support Identify and promote best practices and patterns for data modeling and provide oversight for activities to report migration and data consolidation Independently (with minimal oversight) develop and maintain trusted advisor relationships with business, clinical, and operations leaders at the leadership level and with external partners, that include guidance for optimizing use of analytic capabilities and deliverables, and prioritization based on strategic vision Review team members codes for quality and correctness Collaborate with data analysts and other team members to architect data products and services Integrate the data platform with analytical tools such as Tableau and PowerBI Analyze and document processes to create a large, shared knowledge base Prescribe and optimize the use of cloud-native and third-party capabilities especially within Amazon Web Services (AWS) Ensure all deliverables include the necessary controls and compliance standards (such as HIPAA) regarding data access, data security, data sensitivity and data confidentiality

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