Quality Assurance Engineer

0 years

0 Lacs

Posted:8 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

QA Engineer

Snowflake, Redshift, Databricks, or BigQuery

automated test frameworks


What You’ll Do:

  • Develop and implement test strategies for core services and data pipelines.
  • Build and execute

    functional, integration, and regression tests

    on cloud-native systems.
  • Create reusable test suites to validate

    data integrity

    ,

    schema changes

    , and

    metadata flows

    .
  • Work closely with developers and stakeholders to ensure platform stability.
  • Continuously improve test coverage and

    optimize test execution time

    .
  • Test APIs and services related to

    onboarding

    ,

    data ingestion,

    and

    data shares

    .
  • Validate data consistency from source system (core components) through to cloud warehouses.
  • Integrate tests into

    CI/CD pipelines

    .


Skills We’re Looking For:

Must-Have:

  • Strong focus on test automation.
  • Core Java

    and/or

    Python

    .
  • Experience with

    AWS

    /

    GCP

    .
  • Experience with testing of backend services or data platforms.
  • Familiarity with

    Snowflake, Databricks, Redshift, or BigQuery

    .
  • Solid understanding of

    API testing

    /

    data transformation validation

    .


Nice-to-Have:

  • Experience with

    large-scale data validation

    .
  • Knowledge of

    Pub/Sub

    ,

    Delta Lake

    , or

    data lakehouse architectures

    .
  • Hands-on with test automation tools and frameworks.


Soft Skills:

  • High attention to detail and a quality-focused mindset.
  • Strong communicator and team collaborator.
  • Able to work independently in a fast-paced, cross-functional team.
  • Abie to analyse complex issues and develop effective solutions.


Why Join Us?

  • Work on critical systems at the heart of modern data infrastructure.
  • Gain exposure to cutting-edge tools and large-scale cloud data platforms.
  • Be part of a collaborative, quality-driven team culture.
  • Enjoy a flexible work environment with a strong focus on continuous learning.

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