We are seeking a Lead Data Quality Engineer to drive rigorous data validation, SQL-based testing, and quality automation across cloud data environments. You will verify complex transformations, ensure consistency across multiple systems, and support migration and deployment work within modern data ecosystems. Join a distributed team focused on trustworthy datasets and apply today.
Responsibilities
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Execute QA validation for bulk data products within the data exchange ecosystem
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Validate match and append processes and ensure correct deployment into data pipelines
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Provide QA support for data platform migrations, ensuring data integrity and functional correctness
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Verify data products and data fulfillment processes for accuracy and completeness
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Perform data validation and comparisons across systems, including source input files to cloud data warehouse tables, table-to-table checks, and confirmation of data mappings and transformations against specifications
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Use and enhance quality check frameworks built with PySpark scripts to automate data validation
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Investigate defects through data analysis, identifying root causes in data pipelines or transformation logic
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Collaborate with engineering and data teams to triage issues, validate fixes, and confirm production readiness
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Contribute to test automation for data validation and testing to increase efficiency and coverage
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Communicate findings, risks, and test results clearly to stakeholders
Requirements
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5+ years of experience in Data Quality Engineering
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Expertise in SQL, including complex joins across multiple tables and large datasets
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Hands-on experience with cloud data warehouses such as BigQuery, Redshift, or Synapse Analytics
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Working knowledge of cloud platform services across AWS, Azure, or GCP
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Understanding of data validation practices and automated data comparison techniques
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Background in data transformation, validation, and mapping verification using specifications
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Capability to understand and work with PySpark-based quality frameworks
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Strong data analysis and debugging skills, with an ability to identify defects in data processing pipelines
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Excellent written and verbal communication skills
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Upper-Intermediate English proficiency (B2)
Nice to have
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Proficiency in Python or PySpark development
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Background in data engineering or data pipeline testing environments
We offer
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Career plan and real growth opportunities
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Unlimited access to LinkedIn learning solutions
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Constant training, mentoring, online corporate courses, eLearning and more
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English classes with a certified teacher
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Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
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Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
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Flexible work schedule and dress code
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Collaborate in a multicultural environment and share best practices from around the globe
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Hired directly by EPAM & 100% under payroll
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Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
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Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
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13 % employee savings fund, capped to the law limit
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Grocery coupons
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30 days December bonus
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Employee Stock Purchase Plan
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12 vacations days
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Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
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Monthly non-taxable amount for the electricity and internet bills
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
