Lead Data Quality Engineer - Automate Validation in Cloud

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

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