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

Kairos Technologies; Chennai District, Bengaluru, Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Kairos Technologies is hiring a Data Quality Engineer (Data QE) in Chennai/Bengaluru/Hyderabad. You will drive advanced data testing techniques and build BDD automation frameworks for data, ETL, and event-driven apps.

Proficiency in Python/Java/JavaScript is required, with exposure to data mesh, lakehouse, and streaming architectures. Strong knowledge of tools like Great Expectations, PyTest, Cucumber, and DBT is expected.

Qualifications

• Experience driving advanced software testing techniques in data engineering projects.
• Hands-on with BDD automation frameworks for Data, ETL and event-driven apps.
• Strong programming in Python/Java/JavaScript for automation.
• Experience with data mesh, lakehouse, streaming architectures.
• Familiarity with data governance and visualization tools.

Responsibilities

• Drive advanced testing techniques for data engineering projects.
• Develop and maintain BDD automation frameworks for Data, ETL & event-driven apps.
• Automate tests and integrate them into CI/CD pipelines (Jenkins, Harness, Terraform).
• Utilize tools like Great Expectations, PyTest, Cucumber, and DBT.
• Work with BigQuery, Kafka, Airflow, Spark, Dataflow, Snowflake, and SQL.

Skills

Advanced testing techniques

BDD automation

Python

Java

JavaScript

Data quality

CI/CD

Jenkins

Agile

Test automation

Education

Tools

Great Expectations

PyTest

Cucumber

Behave

DBT

GCP DVT

Monte Carlo

Soda

Deequ

RestAssured

Job description

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: 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