Data Test Automation Engineer

1 day ago

Pune, Maharashtra, India Umanist NA Full time US$ 90,000 - US$ 1,20,000 per year

Job Title
Data Test Automation Engineer

Location:
Pune (Hybrid – 3 Days in Office)

Experience Required:
5 – 7 Years

27593

Joining Requirement:
Must be available to join
on or before 10th September
Role Overview
We are seeking a highly experienced and detail-oriented
Software Development Engineer in Test (SDET)
to work on automation testing for complex data integration and transformation workflows. This position requires a unique combination of
Quality Engineering
and
Data Engineering
expertise. You'll be instrumental in ensuring the integrity and performance of large-scale data pipelines and backend systems, working directly with leadership including the Data Office.

Key Responsibilities

  • Design, develop, and execute automated test cases for data pipelines and integration flows.
  • Perform ETL testing with a strong emphasis on data quality, transformation logic, and validation rules.
  • Build and maintain automated frameworks using Selenium with Java for UI and backend validation.
  • Conduct thorough API testing using REST protocols for services validation.
  • Validate streaming data and message workflows, particularly using Kafka or similar message brokers.
  • Perform structured and unstructured data validation using NoSQL databases such as Cassandra or MongoDB.
  • Work with OpenSearch/Elasticsearch platforms to validate data indexing, queries, and relevance scoring.
  • Participate in code reviews, defect triage, and cross-functional coordination with data engineers, developers, and DevOps teams.
  • Implement test cases in CI/CD pipelines ensuring continuous quality in agile deployments.

Required Skills & Qualifications

  • Strong ETL Automation Testing experience – must be clearly demonstrated in prior projects.
  • Proficient in Selenium with Java for functional and regression test automation.
  • Solid experience in REST API testing and related tools.

  • Hands-on experience in at least two of the following:

  • Kafka or similar queuing systems

  • NoSQL databases (e.g., Cassandra, MongoDB)
  • OpenSearch or Elasticsearch

Candidates must demonstrate the ability to quickly upskill in the third technology area if not already familiar.

  • Strong understanding of test automation frameworks, data validation strategies, and CI/CD practices.
  • Excellent analytical and debugging skills.

Preferred Attributes

  • Exposure to working with data-centric products or in data-first organizations.
  • Strong communication skills and the ability to collaborate with cross-functional teams and stakeholders.
  • Self-driven with a continuous improvement mindset and a passion for automation and data accuracy.

Interview Process

  • Round 1: Internal Screening
  • Round 2 & 3: Technical Interviews with Engineering Stakeholders

Work Mode
Hybrid Model
– 3 days a week in-office (Pune)

Skills: data,automation,testing,validation,test automation,pipelines

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