Overview
Skills
Job Details
About this Position:
Job Responsibilities:
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Represent the Data Operations Hub team in various forums, advising on Data Solutions.
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Lead the design and maintenance of scalable data solutions, including data lakes and warehouses.
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Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making.
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Evaluate and select data technologies, driving the adoption of emerging technologies.
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Develop architectural models using sparkx, or other data modeling tool available and other artifacts to support data initiatives.
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Serve as a subject matter expert in specific areas.
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Experience with modern data processing technologies such as Python, Java, Airflow, etc. using data mesh & data lake.
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Contribute to the data engineering community and advocate for agency data practices.
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Engage in hands-on coding and design to implement production solutions.
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Optimize system performance by resolving inefficiencies.
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Design reusable data frameworks using new technologies.
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3+ years experience as a Data Engineer or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
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3+ years hands-on experience in system design, Python application development, and operational stability.
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3+ years experience in architecture disciplines and Python and Java programming languages.
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2+ years experience on data modeling, integration, cloud data services, data domain driven design.
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2+ years experience with AWS/Azure services, and data engineering disciplines.
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3+ years experience in SQL, data warehousing solutions and cloud native relational databases, e.g. Snowflake, Athena, Postgres.
- AWS or Azure Certification (CCP) or Developer.
- Medicaid background.