Quality Assurance Tester

About company:

Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida.

· Job Title: Data Centric Testing

· Location: pune(Hybrid)

· Experience: 7+ yrs

· Job Type : Contract to hire.

· Notice Period:- Immediate joiners.

Mandatory Skills:

Data-Centric Testing Professional

Key Responsibilities:

• Design and execute test strategies focused on data quality and accuracy.
• Perform

  ETL testing

  ,

  data migration testing

  , and

  data validation

  across multiple sources and targets.
• Validate data transformations, data loads, and reconciliations in data warehouse environments.
• Create SQL queries to verify and validate data at different stages of the ETL process.
• Identify data anomalies, mismatches, and integrity issues.
• Work with business analysts and developers to understand data requirements and define test cases.
• Automate data validation using scripting or testing tools where applicable.
• Document test scenarios, test cases, test data, and results.
• Collaborate with data engineers, developers, and BI teams to ensure data pipelines and reports meet requirements.
• Participate in root cause analysis for data-related defects.

Required Skills:

• Strong knowledge of

  SQL

  and ability to write complex queries.
• Automation framework exp with Azure
• Proven experience with python scripting
• Understanding of

  data modeling

  , data profiling, and data mapping.
• Experience with

  databases

  like Oracle, SQL Server, PostgreSQL, or Snowflake.
• Familiarity with

  data quality frameworks

  and best practices.
• Experience with test management tools (e.g., JIRA, ALM, TestRail).