Data Quality Engineer: QA for Robust Data Platforms

EPAM Systems Inc; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

EPAM Systems Inc in the United States is seeking a Data Quality Engineer to contribute to data governance, quality assurance, and the development of robust data platforms that support reliable data-driven decision-making.

You will help in shaping data ingestion pipelines, ETLs, APIs and integrations, drive data quality automation, and maintain QA environments as part of the CI/CD process, working with cross-functional teams.

Qualifications

• 1+ years in Data Management and Data Quality verification.
• Understanding data ingestion pipelines, Data Lakes, ETL testing.
• Proficiency in SQL and Python (or scripting).
• Experience with AWS, Azure or GCP.
• English level B2 or higher.

Responsibilities

• Play a role in data governance processes including data preparation and quality control.
• Prepare test data sets, perform data profiling and benchmarking.
• Test data ingestion pipelines, ETLs, APIs and integrations.
• Design and maintain data platforms and data quality automation framework.
• Maintain QA environments and contribute to CI/CD process.

Skills

SQL

Python

CI/CD

Data governance

Data integration

Data quality testing

English communication

Data analysis

Tools

Databricks

Spark

Hadoop

Kafka

ElasticSearch

Pandas/NumPy

Job description

EPAM Systems Inc in the United States is seeking a Data Quality Engineer to contribute to data governance, quality assurance, and the development of robust data platforms that support reliable data-driven decision-making.

You will help in shaping data ingestion pipelines, ETLs, APIs and integrations, drive data quality automation, and maintain QA environments as part of the CI/CD process, working with cross-functional teams.