Were Hiring Senior DataQuality Engineer (Data QE/Databasetesting)

Kairos Technologies; Chennai District, Bengaluru, Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Kairos Technologies is hiring a Data QE to drive advanced software testing in data engineering projects across Chennai, Bengaluru, and Hyderabad. You will develop BDD-based automation frameworks for data, ETL, and event-driven apps using Python, Java, or TypeScript, and integrate tests into CI/CD pipelines.

Ideal candidates will have 8+ years of experience with modern data technologies (BigQuery, Kafka, Spark, Airflow) and data governance tools (Looker, PowerBI).

Qualifications

• Must have experience driving advanced software testing techniques in data engineering projects.
• Hands-on experience creating data-focused automation frameworks (Data/ETL & Event-Driven) using Python, Java or TypeScript.
• Ability to solve complex automation use cases for data products built on Data-Mesh, Lakehouse and streaming architectures.
• Experience with modern data and event-driven technologies and testing/automation tools like Great Expectations, PyTest, Cucumber, Behave, DBT, GCP DVT, Monte Carlo, Soda, Deequ, RestAssured.
• Familiarity with data governance and visualization tools such as Looker, Dataplex, Collibra, PowerBI.
• Strong programming skills in Python, Java or JavaScript and CI/CD integration in Jenkins, Harness, Terraform, Dynatrace, etc.
• Experience with Agile tooling (Jira, Confluence, Xray) and source control (Git, GitHub).
• Experience in designing & executing complex automation testing strategies for data and AI platforms.

Responsibilities

• Design, implement and maintain automated test suites for data engineering and AI platforms.
• Develop BDD-based automation frameworks for data pipelines and event-driven apps.
• Collaborate with data engineering teams to ensure data quality and governance.
• Integrate automated tests into CI/CD pipelines and DevOps tooling.
• Evaluate and adopt modern testing tools and frameworks.

Skills

Advanced testing techniques

BDD automation

Python

Java

JavaScript

CI/CD integration

Agile tools

Git/GitHub

Tools

Great Expectations

PyTest

Cucumber

Behave

DBT

GCP DVT

Monte Carlo

Soda

Deequ

RestAssured

BigQuery

Spanner

Kafka

Airflow

Spark

Cloud Composer

DAGs

Beam

Pub/Sub

Dataflow

DataStage

Teradata

Snowflake

ETL

SQL

Looker

Dataplex

Collibra

PowerBI

Python

Java

JavaScript

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