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

- Execute QA validation for bulk data products within the data exchange ecosystem
- Validate match and append processes and ensure correct deployment into data pipelines
- Provide QA support for data platform migrations, ensuring data integrity and functional correctness
- Verify data products and data fulfillment processes for accuracy and completeness
- 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
- Use and enhance quality check frameworks built with PySpark scripts to automate data validation
- Investigate defects through data analysis, identifying root causes in data pipelines or transformation logic
- Collaborate with engineering and data teams to triage issues, validate fixes, and confirm production readiness
- Contribute to test automation for data validation and testing to increase efficiency and coverage
- Communicate findings, risks, and test results clearly to stakeholders

Requirements

- 5+ years of experience in Data Quality Engineering
- Expertise in SQL, including complex joins across multiple tables and large datasets
- Hands-on experience with cloud data warehouses such as BigQuery, Redshift, or Synapse Analytics
- Working knowledge of cloud platform services across AWS, Azure, or GCP
- Understanding of data validation practices and automated data comparison techniques
- Background in data transformation, validation, and mapping verification using specifications




- Capability to understand and work with PySpark-based quality frameworks
- Strong data analysis and debugging skills, with an ability to identify defects in data processing pipelines
- Excellent written and verbal communication skills
- Upper-Intermediate English proficiency (B2)

Nice to have

- Proficiency in Python or PySpark development
- Background in data engineering or data pipeline testing environments

We offer

- Improved medical coverage - EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation
- Lunch Allowance - You will receive a daily allowance of CLP $ 7,000 per working day. Enjoy a nice meal on us
- Allowance for internet and electricity - You will receive an allowance of CLP $15,000 per month to cover internet and electricity expense
- National Holiday Bonus - We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September
- Christmas Bonus - You will receive an End of Year bonus of CLP $170,539. It will be paid during the month of December, to ensure you have a Happy Holiday!
- Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
- Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
- Are you open to relocation? - If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home

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.

📌 Lead Data Quality Engineer (Chile)
🏢 EPAM Systems
📍 Chile