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Lead Data Quality Engineer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Descripción completa 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.

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.

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

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.

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Lead Data Quality Engineer

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Staff Product Engineer

Lead DevOps

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