Lead Data Quality Engineer

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

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

  Nice to have

  • Proficiency in Python or PySpark development
  • Background in data engineering or data pipeline testing environments

  We offer

  • Connectivity 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 year

  By 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.

  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.