Data Centric testing

Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters.

Job Title: Data-Centric Test Analyst / Data Testing Engineer

Location: Pune, Kharadict

Type: Hybrid

Job Type : Contract to hire

Total Exp Required – 7+

Relevant Exp required- 5+

Job Summary:

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).