Lead Data Quality Engineer

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

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

Health Coverage - Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family

Visual Benefit - Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200.000 COP for any visual health expenses

Life Insurance Plan - We have partnered with MetLife to offer a full-coverage Ife insurance plan. So, your family is covered, even if you are gone.

Medical Leave Coverage - We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us

Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally

Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization

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

Community Benefit - You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!

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.

We accept CVs in English only.

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.

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.

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