Sr QA Automation Engineer - PIMS
Publix
Please note, this is a hybrid position requiring 8 days per month on-site in Lakeland, FL.
Join Publix Technology - Where Innovation Meets Impact
Publix Super Markets, Inc., the largest employee-owned company in the U.S., is powered by a dynamic technology team of 2,100+ associates. We deliver modern, cutting-edge solutions to 1,400+ stores and over 200,000 internal team members across 8 states.
Whether you're passionate about IT security, platform engineering, architecture, software development, or infrastructure, we offer exciting career paths at every level - from internships to technical leadership.
Be part of a Fortune “100 Best Companies to Work For” and help us build more than just great subs - build the future of technology for Publix.
Join the Publix Itemization Modernization team as a Sr. Automation QA responsible for cross functional team building. In this role you will be responsible for creating automation test scripts as well as creating comprehensive test plans for new and existing systems. The PIMS team is responsible for the modernization of enterprise items within our warehouse. This role will be responsible for building and executing test cases and coordinating cross-team testing efforts.
ResponsibilitiesParticipate in requirements, design, and product backlog refinement meetings to establish test effort estimates.Analyze project documentation, release notes, and technical specifications to identify test scenarios and create data-focused test cases.Collaborate with scrum teams to define and validate acceptance criteria for backlog items related to data pipelines and Delta Lake features. Design, build, and execute automated tests using SQL, PySpark, and .NET-based frameworks for data validation and quality assurance.Oversee test execution and validation of large-scale datasets, Parquet files, and Delta Lake operations. Ensure quality assurance and validation activities are conducted across the full lifecycle of data engineering workflows.Perform end-to-end validation of streaming (Kafka) and batch (ADLS Gen2) data ingestion pipelines.Validate schema evolution, ACID compliance, and version control in Delta Lake tables.Conduct post-deployment validation for production support and incident resolution.#LI-JB1
Join Publix Technology - Where Innovation Meets Impact
Publix Super Markets, Inc., the largest employee-owned company in the U.S., is powered by a dynamic technology team of 2,100+ associates. We deliver modern, cutting-edge solutions to 1,400+ stores and over 200,000 internal team members across 8 states.
Whether you're passionate about IT security, platform engineering, architecture, software development, or infrastructure, we offer exciting career paths at every level - from internships to technical leadership.
Be part of a Fortune “100 Best Companies to Work For” and help us build more than just great subs - build the future of technology for Publix.
Join the Publix Itemization Modernization team as a Sr. Automation QA responsible for cross functional team building. In this role you will be responsible for creating automation test scripts as well as creating comprehensive test plans for new and existing systems. The PIMS team is responsible for the modernization of enterprise items within our warehouse. This role will be responsible for building and executing test cases and coordinating cross-team testing efforts.
ResponsibilitiesParticipate in requirements, design, and product backlog refinement meetings to establish test effort estimates.Analyze project documentation, release notes, and technical specifications to identify test scenarios and create data-focused test cases.Collaborate with scrum teams to define and validate acceptance criteria for backlog items related to data pipelines and Delta Lake features. Design, build, and execute automated tests using SQL, PySpark, and .NET-based frameworks for data validation and quality assurance.Oversee test execution and validation of large-scale datasets, Parquet files, and Delta Lake operations. Ensure quality assurance and validation activities are conducted across the full lifecycle of data engineering workflows.Perform end-to-end validation of streaming (Kafka) and batch (ADLS Gen2) data ingestion pipelines.Validate schema evolution, ACID compliance, and version control in Delta Lake tables.Conduct post-deployment validation for production support and incident resolution.#LI-JB1
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