At Global Partners, business starts with people. Since 1933, we’ve believed in taking care of our customers, our guests, our communities, and each other—and that belief continues to guide us. The Global Spirit is how we work to fuel that long term commitment to success. As a Fortune 500 company with 90+ years of experience, we’re proud to fuel communities—responsibly and sustainably. We show up every day with grit, passion, and purpose—anticipating needs, building lasting relationships, and creating shared value. Job Description: Participate in the design and build of Application and Data integrations. Plan, execute, and manage integration of new applications with existing systems and software. Provide primary ongoing support for existing applications and data integrations. Translate integration requirements into specific systems, applications, and process designs. Develop and support integration processes and migration plans/schedules. Support technical environments for integration toolsets with upgrades, administration, troubleshooting, performance monitoring, and regression testing. Create and maintain technical documentation, such as Requirements Specifications, Concepts of Operation, Product and Performance Specifications, Interface Control Documents, Compliance Matrices, Qualification Test Plans, Procedures, and Reports. Use SQL to query, analyze, and manipulate data. Design and build efficient and reusable integrations based on requirements and data analysis. Build and test integrations using various tools, including SSIS, SQL, iPaas (Boomi, Mulesoft), Fivetran, MoveIT, and Dagster. Work with peers, clients, and 3rd parties in design, development, and testing. Build an expert level technical understanding of in-scope applications, data and processes. Additional Job Description: Must have a Bachelor’s degree in Computer Science, Information Technology, or a related field plus at least three (3) years of experience in IT as a Developer, Systems Analyst, Architect, or a related position. Experience must include three (3) years with each of the following: designing, developing and supporting integration solutions, including conducting research into application integration issues and products; programming in Python on data-intensive applications; working with REST API protocols and XML constructs; and SQL, NoSQL, and document DBs. Experience must include two (2) years with each of the following: working with ETL tools; building cloud-native data solutions using AWS/Azure; Docker and Kubernetes; building data application solutions using Fivetran, Airflow, Dagster, and Snowflake; Census; implementing observability and monitoring solutions for data pipelines and infrastructure using Prometheus, Grafana, or DataDog; and building and maintaining data pipelines for compliance with data privacy and security regulations, including HIPAA, GDPR, and CCPA.
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Job Type
Full-time
Career Level
Mid Level