Job Description, Responsibilities & Requirements
About the Position
We are seeking a skilled Data Quality Automation Engineer to join our team and contribute to a solution based on the main AWS services such as Glue (ETL), Athena, S3, Kinesis/SQS, Hive, and EKS. This project features various reporting and analytics dashboards, with modern CI/CD and observability as core components.
Responsibilities
- Design and implement test automation strategies within the SDLC
- Develop and maintain data quality checks across AWS-based data pipelines
- Collaborate with teams to analyze and improve BI processes
- Validate ETL workflows and data transformations
- Ensure reliability of reporting and analytics dashboards
- Support modern CI/CD practices and observability initiatives
- Identify and resolve data quality issues across services
- Contribute to the continuous improvement of automation frameworks
Requirements
- 3+ years of experience working with Amazon Web Services
- Background in BI Process Analysis
- Expertise in Test Automation in SDLC
- English proficiency at B2 level or higher
Nice to Have
- Familiarity with AWS Glue, Amazon Athena, and Amazon Elastic Kubernetes Service
- Knowledge of Amazon Kinesis, Apache Hive, and BI Toolset Ops
- Proficiency in Java, Node.js, and SQL
About the Company
EPAM Systems is a global software engineering and product development company that partners with the world’s leading businesses to deliver technology solutions that drive digital transformation.