Data Test Engineer

About Globals:

Globals has drastically grown from a small home office to a globally recognized enterprise offering world-class quality solutions on Cybersecurity, ERP Systems, Predictive Analytics, and Enterprise Application Development for various industries including Defence, Education, Government, Financial Services and Transport Industries. Globals has enabled its customers to be game-changers in their industry through its disruptive and innovative solutions.

Globals is certified as a "Great Place to Work" organization for its laudable work culture that helps its team members manage work-life, have dedicated hours to upskill and reskill themselves, and most important to ensure that the projects that they are working on are always unique, challenging their status quo every time. Our unique work culture has made us one of the world’s fastest-growing technology companies as recognized and featured by The Economist.

Our excellence in technical stewardship and service-offering expertise has facilitated our clients ranging from individual entrepreneurs to Fortune Global 500 – to explore new business opportunities, reduce their operational costs significantly and boost their revenues. Today, Globals enjoys a strong position in the industry as a high-performing leader through its technology innovation and remarkable domain expertise. Globals is a CMMI Level 3 certified company.

About the Job Role:

As a Data Test Engineer, 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 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, 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, 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.
  • Review and understand BRDs/SRDs.
  • Ability to transform complex Business logic into SQL or PL/SQL queries
  • Ability to run, read from, debug batch processes
  • 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 in Selenium, Test Ng, Cucumber, Appium, etc.,
  • 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.
  • Must have experience in using ETL Tool.
  • Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an Information technology operating environmen.
  • Defect tracking experience (i.e. Jira, Bugzilla, 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.
  • 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.


  • 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.