Data Test Engineer

About the Job Role:

As a Data Test Engineer must have strong technical capabilities and good knowledge of the coding languages commonly used in ETL development, such as Python, SQL and XML and Data warehousing Concepts. You should have a knowledge on Troubleshooting for bugs and errors and finding solutions of ETL Development. Familiarity with data warehouse architecture techniques like ODS, DM, EDW and ROLAP is also needed. Extensive experience in solving complex technical problems and troubleshooting is must.

Key Responsibilities:

• 8+ Years of Software Quality Assurance experience on enterprise level applications which includes Data Warehouse Testing.
• Experience in writing complex SQL queries, Experience in writing complex SQL queries, ability to determine the types of testing that must be conducted (i.e., data validation, regression, etc.), including evaluating the testability of requirements and create a comprehensive test plan that supports the business and technological solutions being delivered.
• Should have experience testing multiple test phases in medium to large projects.
• Understanding of information governance principles and how they could apply in a testing capacity.
• Should have adequate experience and clear understanding of data warehouse and data mart testing.
• Identification and Test Data Preparation Techniques.
• Ability to transform complex Business logic into SQL or PL/SQL queries.
• Thorough knowledge of Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle etc.
• Creating requirements traceability matrix (RTM)
• Proficiency with Test Case Preparation and Execution.
• QA Automation Test tools expertise using Python.
• Extensive exposure to ETL testing with high-level of SQL skills is required.
• Should have exposure to large data sets and understand Data Quality Framework.
• Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an Information technology operating environment.
• Defect tracking experience (i.e., Jira, ALM, etc.)
• Experience in tuning SQL queries, Stored Procedures, Views, etc. for performance improvements
• Should be detail oriented with analytical mind set.
• Knowledge of data models and entity relationship diagrams.
• Must have the ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks.