[Hiring] Data Quality Engineer @EPAM

Role 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.

• 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.

Qualifications

• 3+ 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.

Requirements

• 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.