Job Description

Mode of Interview: Webcam

Work Arrangement: Hybrid (3 days in office, 2 days remote), First month onsite for training & Candidate must be a CURRENT SC resident.

Work Location: Columbia, SC

Shift: EST

Job Responsibilities

• Represent the Data Operations Hub team in various forums, advising on Data Solutions.
• Lead the design and maintenance of scalable data solutions, including data lakes and warehouses.
• Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making.
• Evaluate and select data technologies, driving the adoption of emerging technologies.
• Develop architectural models using sparkx, or other data modeling tool available and other artifacts to support data initiatives.
• Serve as a subject matter expert in specific areas.
• Experience with modern data processing technologies such as Python, Java, Airflow, etc. using data mesh & data lake.
• Contribute to the data engineering community and advocate for agency data practices.
• Engage in hands-on coding and design to implement production solutions.
• Optimize system performance by resolving inefficiencies.
• Design reusable data frameworks using new technologies.

Required Skills:

• 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.
• 3+ years hands-on experience in system design, Python application development, and operational stability.
• 3+ years experience in architecture disciplines and Python and Java programming languages.
• 2+ years experience on data modeling, integration, cloud data services, data domain driven design
• 2+ years experience with AWS/Azure services, and data engineering disciplines.
• 3+ years experience in SQL, data warehousing solutions and cloud native relational databases, e.g. Snowflake, Athena, Postgres

Preferred Skills:

• AWS or Azure Certification (CCP) or Developer
• Medicaid background

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