About the Job Role:
As a Data Test Engineer / ETL Tester, you will be responsible for validating data sources, extracting data applications of transformation logic and uploading data in target tables. You will be responsible for designing, testing, and troubleshooting the client s data storage system before it goes live. You must have strong technical capabilities and good knowledge of the coding languages commonly used in ETL development, such as Java, SQL, XML. Familiarity with data warehouse architecture techniques like ODS, DM, EDW, M, and ROLAP is also needed. Extensive experience in solving complex technical problems and troubleshooting is must.
Key Responsibilities:
- 3+ Years of Software Quality Assurance experience on enterprise level applications which includes Data Warehouse Testing.
- 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.
- Should have adequate experience and clear understanding of data warehouse and data mart testing.
- Identification and Test Data Preparation Techniques.
- Thorough knowledge of Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle etc. Proficiency with Test Case Preparation and Execution.
- QA Automation Test tools expertise in Selenium, Test Ng, Cucumber, Appium, etc.,
- Extensive exposure to Back-end/ETL Testing with high-level of SQL skills is required.
- Possess experience in using Informatica suite of tools.
- Should have exposure to large data sets and understand Data Quality Framework.
- Must have Talend Open Studio Experience
- Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an information technology operating environment.
- Defect tracking experience (i.e. Jira, Bugzilla, etc)
- Experience in tuning SQL queries, Stored Procedures, Views, etc for performance improvements
- Knowledge of data models and entity relationship diagrams
- Knowledge and experience in data masking methodologies - Familiar with Meta Data Management tools
- Must have the ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks.
- Should be detail oriented with analytical mind set.
Soft Skills:
- Good communication skills with a confident personality so that can gather requirement from onsite team as well as demonstrate the output to other members of the team.
- Ability to communicate well to both technical and non-technical staff.
- Excellent problem solving and analytical skills, able to handle challenging situations and act appropriately.
- Excellent learning skills, must learn and also guide other team members on their knowledge.
- Should be a self-starter; takes responsibility and ownership and is self-driven.
- Ability to work independently with minimal supervision as well as ability to work within a team
- Good team player; commitment to high-quality output and service.
Education Qualification:
- B.E, B.Tech, MCA, MSC (CS, CA, IT) or higher.