Data Quality Engineer

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

We are looking for a Data Quality Engineer to join our team and contribute to data governance processes, quality assurance, and the development of robust data platforms that support reliable data-driven decision-making.

Responsibilities

• Play a role in the data governance processes, including data preparation, generation, data obfuscation, data integration, data slicing and data quality control
• Prepare test data sets, perform data profiling and benchmarking
• Perform testing of data ingestion pipelines, ETLs, APIs and integrations
• Take part in designing and maintaining data platforms, data quality automation framework
• Maintain QA environments, contribute to the CI/CD process establishment
• Support customer inquiries on data quality issues and data consumption

Requirements

• 1+ years of hands-on engineering experience and practice in Data Management, Data Quality verification/Data Governance, Data Integration
• Understanding of data ingestion pipelines, Data Lakes, ETL testing, DWH basics
• Knowledge of CI/CD principles and best practices in data processing
• Proficiency in SQL
• Knowledge of Python (or other scripting languages)
• Experience with one of the major cloud providers: AWS, Azure or GCP
• Understanding of test automation
• Experience in Data analysis & requirements validation
• Experience in Test Case design and bug reporting
• Analytical approach to problem solving; excellent interpersonal and communication skills
• English proficiency at B2 level or higher

Nice to have

• Knowledge of a few data processing technologies, e.g., Spark, Hadoop, Kafka, ElasticSearch, Python libraries (Pandas/NumPy/…)
• Understanding of various ETL Tools (e.g., Databricks)
• Understanding of Big Data principles
• Familiarity with Linux and Bash scripting basics
• Experience in Data Visualization testing
• Experience in maintaining QA environments
• Understanding of Data project Test Strategy creation and test planning