Lead Data Quality Engineer — Automate Data Validation at Scale

EPAM Systems; Argentina; Presencial; ARS 2.000.000 - 2.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Connectivity Bonus (ARS 25,000 paid as

Descripción de la vacante

EPAM Systems in Argentina is seeking a Lead Data Quality Engineer to drive data validation, SQL-based testing, and quality automation across cloud data environments. You will verify complex transformations, ensure consistency across systems, and support migration and deployment work within modern data ecosystems.

The role focuses on validating data pipelines, enhancing test automation, and collaborating with cross-functional teams to ensure production readiness and trustworthy datasets.

Formación

• .5+ years of experience in Data Quality Engineering.
• Expertise in SQL, including complex joins across multiple tables and large datasets.
• Hands-on experience with 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.
• Proficiency in Python or PySpark development.
• Background in data engineering or data pipeline testing environments.

Responsabilidades

• Execute QA validation for bulk data products within the data exchange ecosystem
• Validate match and append processes and deployments into data pipelines
• Provide QA support for data platform migrations, ensuring data integrity
• Verify data products and data fulfillment processes for accuracy and completeness
• Perform data validation across systems, including source input files to cloud data warehouse tables
• Use PySpark scripts to automate data validation checks
• Investigate defects and identify root causes in data pipelines or transformation logic
• Collaborate with engineering and data teams to triage issues and confirm production readiness
• Contribute to test automation for data validation and testing
• Communicate findings, risks, and test results clearly to stakeholders

Conocimientos

SQL

PySpark

Python

Data Validation

Data Pipelines

Herramientas

BigQuery

Redshift

Synapse Analytics

AWS

Azure

GCP

Descripción del empleo

EPAM Systems in Argentina is seeking a Lead Data Quality Engineer to drive data validation, SQL-based testing, and quality automation across cloud data environments. You will verify complex transformations, ensure consistency across systems, and support migration and deployment work within modern data ecosystems.

The role focuses on validating data pipelines, enhancing test automation, and collaborating with cross-functional teams to ensure production readiness and trustworthy datasets.