SDET Engineer

2 weeks ago

Hyderabad, Telangana, India Blend Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit

Job Description

We are looking for an experienced
QA Automation Engineer
with strong expertise in
Python-based automation
,
ETL and database testing
, and
Big Data validation
within
Azure Fabric
environments. The ideal candidate will be responsible for ensuring high-quality data workflows and automation across complex data pipelines and analytics platforms.

Responsibilities

  • Design, develop, and maintain
    automation frameworks
    using
    Python
    for data validation and workflow testing.
  • Perform
    ETL testing
    to validate data extraction, transformation, and loading processes across multiple data sources.
  • Conduct
    Database and Big Data testing
    using SQL and other relevant tools to ensure data integrity and performance.
  • Validate end-to-end
    data pipelines
    across
    Azure Data Fabric, Azure Synapse, and Azure Data Factory
    .
  • Collaborate with Data Engineering and Development teams to identify quality gaps, define test strategies, and improve automation coverage.
  • Develop and execute
    test cases, test scripts, and regression suites
    for large-scale data applications.
  • Perform
    data reconciliation and validation
    in distributed environments (Hadoop, Spark, or Databricks).
  • Participate in CI/CD automation and support quality gates in
    Azure DevOps
    pipelines.
  • Document test results, defects, and ensure traceability from requirements to validation.

Qualifications

  • 3+ years
    of experience in
    QA Automation
    with a strong background in
    data testing
    .
  • Hands-on experience in
    Python-based automation frameworks
    (PyTest, Unittest, or custom-built).
  • Strong SQL skills for
    data validation, profiling, and complex query testing
    .
  • Proven experience in
    ETL testing
    and validation of data flows across staging, transformation, and target layers.
  • Experience in
    Big Data testing
    (Spark, Hive, HDFS, Databricks, or similar technologies).
  • Knowledge of
    Azure Data Fabric, Azure Data Factory, Synapse, and Data Lake
    .
  • Good understanding of
    data warehousing concepts, data modeling
    , and
    schema validation
    .
  • Experience working with
    CI/CD pipelines
    ,
    Git
    , and
    Azure DevOps
    .

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