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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 up-to-date 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 vijay.r@kairostech.com .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.