Azure Data QA Engineer

4 days ago

Pune, Maharashtra, India Weekday AI Full time ₹ 1,32,00,000 - ₹ 1,63,20,000 per year

This role is for one of Weekday's clients

Min Experience: 4 years

Location: Pune, Bangalore

JobType: full-time

Requirements

We are looking for a highly skilled Azure Data QA Engineer to join our team on a contractual basis (1 year). This role is based in Pune or Bangalore (Hybrid working), and we are seeking candidates who can join immediately or within a short notice period (2–3 weeks). The ideal candidate will have 4–5 years of strong experience in Data Quality Assurance, with a specific focus on Azure Data Bricks, Azure Data Factory, and Spark SQL. Unlike data engineering roles, this position is focused entirely on data testing and quality validation, ensuring that data pipelines, transformations, and workflows are reliable, accurate, and optimized.

This is an excellent opportunity for an experienced Data QA professional to contribute to enterprise-scale data solutions while working closely with engineering, product, and analytics teams to validate and ensure the quality of mission-critical data systems.

Key Responsibilities

  • Data Quality Assurance & Testing

  • Perform end-to-end testing of data pipelines built on Azure Data Bricks and Azure Data Factory.

  • Validate ETL processes, data transformations, and workflows to ensure accuracy, completeness, and reliability.
  • Write and execute complex SQL and Spark SQL queries to test and validate large datasets.

  • Conduct functional, regression, and performance testing of data solutions.

  • Collaboration & Understanding Data Systems

  • Work closely with engineering and product teams to understand complex data systems, business rules, and requirements.

  • Partner with data engineers and analysts to identify data issues and ensure high-quality outputs.

  • Document test plans, test cases, and test results for transparency and compliance.

  • Data Validation & Issue Resolution

  • Develop and implement scalable test strategies for structured and unstructured data.

  • Proactively identify data discrepancies, performance bottlenecks, and edge cases.

  • Collaborate with cross-functional teams to troubleshoot, track, and resolve data quality issues.

  • Continuous Improvement

  • Recommend process improvements for data validation, automation, and reporting.

  • Ensure compliance with best practices in QA and data governance.
  • Stay updated on new features in Azure Data services and testing methodologies.
Required Skills & Experience
  • 4–5 years of experience in Data Quality Assurance / Data Testing roles.
  • Strong expertise in Azure Data Bricks and Azure Data Factory (ADF).
  • Hands-on experience with Spark SQL and writing/optimizing complex SQL queries.
  • Proven experience in data validation, ETL testing, and data pipeline QA.
  • Strong problem-solving and analytical skills to handle large, complex data systems.
  • Excellent communication and collaboration skills for working in cross-functional teams.
  • Ability to join immediately or within 2–3 weeks (mandatory).
Contract Details
  • Position Type: Contractual (1 Year)
  • Location: Pune or Bangalore (Hybrid working model)
  • Experience Required: 4–5 years
  • Budget: Up to 1.10 Lakh per Month (LPM)
  • Notice Period: Immediate joiner or up to 2–3 weeks

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