Data Engineering Strategist

7 days ago


Irving, Texas, United States Fusion Health Full time
Job Overview

Fusion Health is seeking an experienced Data Engineering Strategist to support growth, strategy, and development of innovative solutions internally and for our external clients.

Responsibilities:
  • Data Product Development: Partner with data scientists to create data products that serve analysis, ML, and reporting needs intuitively.
  • Collaboration and Communication: Collaborate with database and application development teams to capture requirements and determine data-driven solutions to support ongoing projects.
  • Client Services Automation: Coordinate with client services to automate client data ingestion and client deliverable workflows using Azure Data Factory.
  • Data Ingestion and Processing: Implement and maintain data ingestion, transformation, and loading processes using ETL/ELT tools and techniques.
  • Error Resolution: Review and remediate any identified issues or cases in the system, including root cause analysis to determine if issues require development to address systematic problems.
  • Enterprise Data Modeling: Work with the Data Architect to develop and maintain high-level enterprise data models and conceptual views of related data sub-architectures.
  • Service Standards Implementation: Identify and implement service standards in conjunction with stakeholder-specific requirements.
  • Cross-Functional Leadership: Act as a trusted advisor to IT analytics and application teams and business partners, providing expert consultation and communicating sophisticated data-driven insights.
Requirements:
  • Experience: 5 years of experience in data engineering, procedure/function development, business system designs, and support.
  • Technical Skills: Strong understanding of SQL and NoSQL technologies and query language; hands-on experience designing data management systems on Microsoft SQL Server, ETL development using Data Factory, and developing and managing deployments using CI/CD industry standard practices.
  • Soft Skills: Strong analytical skills, ability to manage and make decisions about competing priorities and resources, exceptional oral, written, presentation, and interpersonal skills, and ability to work both autonomously and collaboratively.


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