What are the responsibilities and job description for the Senior Data Engineer position at Global Soft Systems?
Role: Senior Data Engineer
Location: Columbus, OH (onsite 4 days/week M-Th)
Duration: 6-12 month open-ended Contract (potential extension)
We are looking for a Senior Data Engineer who will help make our next decade just as revolutionary as our past. If you're one of the super-talented who thrive on change, aren't afraid to take risks, love to make a difference, want to cultivate the better world, you're the right fit. Come grow with us.
The Senior Data Engineer for Enterprise Data will be an active participant and driver in building the innovative enterprise data solution leveraging both cloud and on-prem technologies. Responsibilities include building data engineering solutions and processes to enable analytics, business intelligence, MDM and mobility. This role will be responsible for designing new data pipelines to leverage data at scale, coaching best development standards and practices, and supporting development teams to ensure successful delivery.
WHAT YOU'LL DO
Actively engage in technology discovery and implementation for both our Cloud (i.e. Azure, Snowflake, etc) and on-prem platforms to build solutions for future architecture and systems
Provide logical and physical data design, and database modeling
Provide end-to-end support for solution integration (Data Pipelines), including designing, developing, deploying, and supporting solutions for existing platforms
Perform gap analysis on current state and help define the new data architecture
Manage code versions and deployment processes in source control and coordinate changes across teams
Work with team members to solve complex data issues around data integration, unusable data elements, unstructured data sets, and other data processing incidents
Partner with enterprise teams, data scientists, architects to define design requirements and solutions
WHAT YOU'LL BRING TO THE TABLE
Have a B.A./B.S. and 10 years of relevant work experience, or an equivalent in education and experience
Hands on experience with SQL and Snowflake
2 years experience with Cloud platform technologies particularly using Azure Services (ADLS, ADF, Azure Functions, etc.), Snowflake, DBT, etc.
Experience with MPP platform and data modernization initiatives using PaaS/SaaS services
Experience with data models (relational, Star schema, Data vault, Document, etc.)
Experience working with Continuous Integration and Continuous Deployment (CI/CD) tooling using Azure DevOps
Experience leveraging agentic AI for development
Experience building data pipelines with DBT
Hands on experience with Python