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Senior Data Quality Engineering (Data QE / Data Test Automation) (Hyderabad)

Kairos Technologies · Hyderabad

📅 13/08/2026
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We are hiring Data QE Exp 8+ yrs Location- Chennai / Bengaluru / Hyderabad Data QE Must Have: Experience of driving advanced software testing techniques applying modern automation test approaches in Data Engineering project, ensuring robust data quality Hands-on experience of developing BDD based Automation Frameworks for Data, ETL & Event -Driven applications using Python, Java or Typescript Ability to solve complex automation use cases for new Data Products built on Data -Mesh, Lakehouse and streaming architecture Working experience of modern data & event -driven technologies, such as: Testing & Automation: Excellent Expectations etc PyTest , Cucumber, Behave, DBT, GCP DVT, Monte Carlo, Soda, Deequ , RestAssured Data Engineering & Orchestration: BigQuery , Spanner, Apache Kafka,Airflow, Spark, Cloud Composer, DAGs, Apache Beam, Pub/Sub, Dataflow, DataStage, Teradata, Snowflake, ETL, SQL etc Experience of Data Governance & Visualisation tools like: Looker, Ataccama , Dataplex , Collibra, PowerBI Strong programming proficiency in one of following coding language - Python (preferable), Java or JavaScript Experience of designing & executing complex automation testing strategies and frameworks for Functional and Non -Functional requirements of Data and AI platforms Create or accurately request complex test data, referential integrity, data quality and governance taking into account Incorporate automated tests into the CI/CD pipeline and DevOps tooling like Jenkins, Harness, Terraform, Dynatrace etc Experience with Agile tools (Jira, Confluence, Xray) Experience on Source code management tools (Git, GitHub) Good to Have: - AI/ Analytics: Exposure to TensorFlow, PyTorch , Scikit -learn, OpenCV, LangChain and GenAI tools - DevOps tooling experience like K8, Docker, Terraform, Jenkins, Harness Can share your resume to .
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