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 recent Data Products built on Data -Mesh, Lakehouse and streaming architecture

Working experience of modern data & event -driven technologies, such as:

Testing & Automation: Great 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 [email protected]

📌 Were Hiring Senior DataQuality Engineer (Data QE/Databasetesting) (Bengaluru)
🏢 Kairos Technologies
📍 Bengaluru