Senior Data Tester

5 - 10 years

15 - 22 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities

  • Design, develop, and execute data validation test plans and test cases for data pipelines, ETL processes, and data-driven applications.
  • Build and maintain automated data quality checks and regression test suites using Python.
  • Identify, document, and track data issues through to resolution.
  • Validate data transformations, aggregations, and reporting outputs against source data and business rules.
  • Collaborate with data engineers, analysts, and product managers to define effective test strategies and clear acceptance criteria.
  • Monitor, validate, and troubleshoot data pipelines deployed on AWS cloud infrastructure.
  • Analyze large datasets to detect anomalies and ensure data integrity.
  • Continuously improve QA processes, tools, and best practices for data-centric testing.

Required Skills & Qualifications

  • Minimum 5 years of experience in QA/testing, with a focus on data
  • validation and data-centric testing.
  • Strong knowledge of testing methodologies, defect tracking, and test case management tools.
  • Proficiency in Python, with experience automating test cases and developing validation scripts.
  • Hands-on experience with AWS services such as S3, EMR, SQS, Athena, etc.
  • Solid understanding of SQL and ability to write and optimize queries for data validation.
  • Excellent analytical and problem-solving skills, with keen attention to detail.
  • Strong communication skills and ability to thrive in a collaborative, cross- functional team environment.

Preferred Skills (Good-to-Have)

• Experience with big data tools: PySpark, BigQuery, etc.

• Familiarity with distributed data processing frameworks and architectures.

• Knowledge of data analysis libraries such as Pandas, NumPy, etc.

• Exposure to CI/CD pipelines and QA automation frameworks.

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