Lead Data Quality Engineer

EPAM Systems; Colombia; Presencial; COP 180.000.000 - 210.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning platforms

Health coverage

Vision benefits

Life Insurance

Medical leave coverage

Professional growth

Stock options

Referral program

Global community

Descripción de la vacante

EPAM Systems in Colombia is 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, support migrations, and collaborate with cross-functional teams to ensure data integrity and production readiness.

This role requires 5+ years in data quality engineering and strong SQL, PySpark, and cloud platform skills.

Formación

• 5+ years of experience in Data Quality Engineering.
• Expert SQL skills with complex joins across large datasets.
• Hands-on experience with cloud data warehouses (BigQuery, Redshift, Synapse).
• Knowledge of AWS, Azure, or GCP services.

Responsabilidades

• 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
• Investigate defects through data analysis and identify 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

Conocimientos

SQL

PySpark

BigQuery

Redshift

Synapse

AWS

Azure

GCP

Data Validation

Data Mapping

English B2

Descripción del empleo

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.