Quality Engineer (Data) - ETL Testing

3 - 5 years

0 Lacs

Posted:19 hours ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Quality Engineer (Data)

Interview Details

  • Interview Date: 21st Aug 2025
  • Interview Mode & Location: Face-to-Face (F2F) IBM Manyata, Bangalore Office
  • Work Location: IBM Manyata, Bangalore

Experience

  • Total Experience: 3 4 years
  • Relevant Experience: 3 4 years

Key Responsibilities

  • Data Management Strong understanding of data management principles and migration project architecture. Work with multiple databases (SQL, NoSQL) and data formats (CSV, JSON, XML).
  • ETL Testing Perform ETL validations across different data sources, verify business rule transformations, and validate ETL tool outputs.
  • Programming Skills Proficiency in Python, Java, or Scala with Spark. Experience with Bash/PowerShell scripting for automation is an added advantage.
  • SQL Expertise Ability to write complex SQL queries, optimize performance, and work with database indexing.
  • Testing Principles Solid understanding of SDLC/STLC, Agile/Scrum, test planning, test case design, and execution.
  • Data Visualization Create insightful reports/dashboards using Tableau, Power BI, or matplotlib (Python) for presenting test results.
  • Automation & CI/CD Experience with automation frameworks, test data provisioning, and CI/CD pipelines (preferably Azure DevOps).
  • Cloud & Big Data Hands-on experience with Azure Databricks, Python, and Spark for large-scale data processing and validation.
  • Domain Knowledge Familiarity with retail domain to design accurate and relevant test scenarios.
  • Collaboration Strong communication skills to work with developers, QA engineers, and stakeholders, including explaining technical concepts to non-technical teams.
  • Problem Solving Strong analytical mindset for identifying, troubleshooting, and resolving complex data-related issues.
  • Test Management Tools Working knowledge of tools like JIRA for tracking and reporting.

Mandatory Skills

  • SQL (advanced queries, indexing)
  • Python/Scala with Spark
  • ETL testing & validation
  • Azure Databricks with Python & Spark
  • Data visualization (Tableau/Power BI/matplotlib)

Good to Have

  • Knowledge of automation in CI/CD pipelines (Azure DevOps)
  • Bash/PowerShell scripting
  • Experience in retail domain projects

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