Data Quality Automation Engineer

We are seeking a skilledData 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
• Collaboration with teams to analyze and improve BI processes
• Validation of ETL workflows and data transformations
• Ensure reliability of reporting and analytics dashboards
• Support modern CI/CD practices and observability initiatives
• Identification and resolution of data quality issues across services
• Contribution 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