TCS USAAvance Consulting is hiring: Sr Data tester- MDM Domain in Strongsville

Skill: Sr Data tester- MDM Domain

Must Have Technical/Functional Skills:

• Strong SQL and database skills: Essential for querying, analyzing, and validating data within relational databases.

• ETL testing experience: Familiarity with ETL processes and tools is crucial for testing data integration pipelines. 

• Data warehousing knowledge: Understanding of data warehousing principles and concepts is important for testing data within data warehouse environments. 

• Data quality and governance experience: Knowledge of data quality concepts and practices is essential for ensuring data accuracy and reliability. 

• Test automation skills: Experience with automation tools and frameworks is necessary for automating test cases and improving testing efficiency. 

• Strong analytical and problem-solving skills: Ability to analyze data, identify anomalies, and troubleshoot issues is crucial. 

• Excellent communication and collaboration skills: Effective communication and collaboration with various teams are essential for resolving data issues and ensuring data quality. 

• Experience with Agile/Scrum methodologies: Familiarity with Agile/Scrum methodologies is often preferred for working in fast-paced development environments. 

Roles & Responsibilities:

• Data Quality Assurance: Developing and executing comprehensive test plans to identify and address data quality issues within the MDM system, including duplicate data, inconsistencies, and errors.

• Test Case Development: Creating and documenting detailed test cases and scenarios for validating MDM data against business rules, data models, and specifications.

• Data Validation: Performing end-to-end testing of data flows and processes within the MDM solution to ensure data integrity and completeness across all integrated systems.

• Root Cause Analysis: Investigating and resolving data quality problems, working with data owners and technical teams to implement corrective actions.

• MDM Tools and Technologies: Possessing strong knowledge of MDM platforms like Informatica, SAP, Oracle, and other relevant tools.

• Collaboration: Working closely with business stakeholders, data architects, developers, and other QA teams to ensure the MDM system meets business requirements and data governance standards.

• Documentation: Documenting data quality processes, standards, and findings, according to aijobs.net.

• Communication: Clearly communicating test results and data quality issues to both technical and non-technical stakeholders.