Quality Engineer

FR5513 Sysco France SAS

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Sysco LABS - Sri Lanka Until 9/18/2026 H-1B sponsor history First posted December 4, 2025 Last posted July 20, 2026
Job description

JOB DESCRIPTION

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 Quality Engineer  Data Engineering to join our team. 

 

Responsibilities: 

 

  • Validating datasets, reports, and dashboards by comparing results with source systems 

  • Running SQL queries to check data accuracy, data transformations, and business rule alignment 

  • Supporting testing of ETL/ELT processes and analytics pipelines across different stages 

  • Reporting data issues, tracking defects, and retesting fixes in collaboration with Data Engineers and BI teams 

  • Documenting simple test scenarios, expected results, and validation checklists for dashboards and datasets 

  • Performing data integrity checks, transformation validations, and basic aggregation verifications 

  • Following defined QE standards and maintaining testing information in Jira and Confluence 

  • Working with senior QEs to improve testing coverage and learning advanced data validation techniques 

 

Requirements: 

  • A Bachelor’s Degree in IT, Software Engineering, Data Science, Computer Science, or a related field 

  • 0–2 years of experience in QA, Data Quality, BI, or Software Testing (fresh graduates with good Python and SQL knowledge are welcome 

  • Basic SQL knowledge   

  • An understanding of data tables, relationships, and simple BI concepts 

  • Exposure to Python or interest in learning Python for test automation 

  • Familiarity with Agile processes and tools like Jira/Confluence is an advantage 

  • Good analytical thinking, attention to detail, and willingness to learn 

  • Strong communication skills and the ability to collaborate with multiple teams 

  • Must have a passion for quality and continuous improvement 

  • Exposure to data engineering, ETL concepts, or BI tools (Power BI, Tableau, Looker) 

  • Experience with cloud platforms (GCP, AWS, or Azure) 

  • A basic understanding of KPIs, metrics, or business rule validation 

 

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.  

About this role

Summary

Validate datasets, reports, dashboards; run SQL queries; support data testing and validation

Job title

Quality Engineer

Experience level

0-2 years

Industry

foodservice

Location requirements

Sri Lanka, hybrid work allowed

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

SQLPythondata validationETLagile

Preferred skills

Power BITableauLookercloud platformsdata engineering

Specializations

data engineeringdata validationSQLPythonETL
Locations

Structured locations inferred from the posting.

Maho, Sri Lanka

Hybrid City
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