Lead Data Quality Engineer

EPAM Systems; Argentina; Remote; ARS 1,800,000 - 2,800,000; Full time

Benefits offered by this job

Connectivity Bonus

Medicina Prepaga

Paternity Leave

Discounts Card

English Training

Training Program

Marriage Bonus

Referral Program

External Discounts

Vacation 14 days

Job summary

EPAM Systems, Inc. seeks 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 migrations and deployments within modern data ecosystems. You will join a distributed team focused on trustworthy datasets and collaborate with multinational teams to deliver robust data validation and testing, using PySpark-based quality

Qualifications

• 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 (BigQuery, Redshift, Synapse).
• Working knowledge of cloud services across AWS, Azure, or GCP.
• Understanding of data validation practices and automated data comparison techniques.

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 (source files to cloud tables and mappings).
• Use PySpark-based quality frameworks to automate data validation.
• Investigate defects through data analysis and identify root causes in 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.

Skills

SQL

PySpark

Data validation

Data analysis

English proficiency

Tools

BigQuery

Redshift

Synapse Analytics

PySpark framework

AWS

Azure

GCP

Job description

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.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.ResponsibilitiesExecute QA validation for bulk data products within the data exchange ecosystemValidate match and append processes and ensure correct deployment into data pipelinesProvide QA support for data platform migrations, ensuring data integrity and functional correctnessVerify data products and data fulfillment processes for accuracy and completenessPerform 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 specificationsUse and enhance quality check frameworks built with PySpark scripts to automate data validationInvestigate defects through data analysis, identifying root causes in data pipelines or transformation logicCollaborate with engineering and data teams to triage issues, validate fixes, and confirm production readinessContribute to test automation for data validation and testing to increase efficiency and coverageCommunicate findings, risks, and test results clearly to stakeholdersRequirements5+ years of experience in Data Quality EngineeringExpertise in SQL, including complex joins across multiple tables and large datasetsHands-on experience with cloud data warehouses such as BigQuery, Redshift, or Synapse AnalyticsWorking knowledge of cloud platform services across AWS, Azure, or GCPUnderstanding of data validation practices and automated data comparison techniquesBackground in data transformation, validation, and mapping verification using specificationsCapability to understand and work with PySpark-based quality frameworksStrong data analysis and debugging skills, with an ability to identify defects in data processing pipelinesExcellent written and verbal communication skillsUpper-Intermediate English proficiency (B2)Nice to haveProficiency in Python or PySpark developmentBackground in data engineering or data pipeline testing environmentsWe offerConnectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).Medicina Prepaga (It covers the collaborator and direct family group).Paternity Leave (Two additional days are added to what is established by law, total of 4 days).Discounts card.English Training (English lessons, twice per week).Training Program (Access to multiple customized training plans according to the needs of each role within the company).Marriage bonus (The company doubles the allowance established by law that ANSES offers).Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company).External Agreements and Discounts.Vacations: 14 calendar days a yearBy 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.