Senior Quality Engineer - Data Engineering
The Big Picture
Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry.
Sysco employs over 75,000 associates, has 337 smart distribution facilities worldwide and over 14,000 IoT-enabled trucks serving 730,000 customer locations. For fiscal year 2025 that ended June 29, 2025, the company generated sales of more than $81.4 billion.
Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations. Sysco LABS’ enterprise technology is present in the end-to-end foodservice journey, enabling the sourcing of food products, merchandising, storage and warehouse operations, order placement and pricing algorithms, the delivery of food and supplies to Sysco’s global network and the in-restaurant dining experience of the end-customer.
The Opportunity
We are currently on the lookout for a Senior Quality Engineer – Data Engineering to join our team.
Responsibilities:
Validating data models and dashboards against source systems to ensure data accuracy, integrity, and alignment with business rules
Designing and executing test strategies for data pipelines, ETL processes, and data transformations across the analytics lifecycle (from data preparation to visualization)
Maintaining and enhancing existing Python-based automation frameworks to support regression, validation, and edge-case testing across analytics workflows
Collaborating closely with Data Engineers, BI Developers, and cross-functional teams (Finance, Sales, and Purchasing domains) to identify QA coverage gaps, report issues, and ensure fixes are properly verified
Documenting test scenarios, outcomes, and QA verification steps for analytics datasets and dashboards
Conducting data integrity, transformation, and aggregation validations across data engineering and analytical layers to ensure consistent and reliable reporting outputs
Participating in code and design reviews to ensure testability, scalability, and performance of data pipelines
Supporting root cause analysis (RCA) for data issues, classifying defects by source (ETL logic, source data, schema drift), and contributing to continuous improvement
Contributing to QE process standardization by following Sysco-defined standard data testing practices and ensuring complete test traceability in Jira and Confluence
Providing technical assistance to peers and junior engineers on test strategy, query optimization, and framework usage when needed
Requirements:
A Bachelor’s Degree in Data Science, Computer Science, Information Technology, or a related field
3–5 years of experience in Software/Data Quality Engineering, with a strong focus on ETL and BI validation
Strong database and SQL skills, with the ability to optimize and troubleshoot complex queries
Good working knowledge of Python for automation scripting and maintaining test frameworks
Hands-on experience working in Agile environments, with exposure to Jira and Confluence for QE processes
Experience working on GCP or other cloud-based data environments is an added advantage
Familiarity with testing principles and concepts applied in software and data quality engineering
Benefits:
US dollar-linked compensation
Performance-based annual bonus
Performance rewards and recognition
Agile Benefits - special allowances for Health, Wellness & Academic purposes
Paid birthday leave
Team engagement allowance
Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws
Overseas travel opportunities and exposure to client environments
Hybrid work arrangement
Sysco LABS is an Equal Opportunity Employer.
