At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Data Testing Manager plays a critical role in ensuring the accuracy, reliability, and efficiency of data flows within an organization.The Data Flow Test Manager is key in proactively ensuring that data quality is maintained across the enterprise, thereby enabling BUs and Analytics Teams deliver relevant and accurate models and insights. He/She will define and implement stringent end-to-end test plans, with specific focus on the business requirements, data integration/transformation and data-level validations prior to production deployment. This role is responsible for verifying data integrity, validating the proper functioning of data pipelines upon deployment and ensuring all business requirements are met prior to production deployment

DUTIES AND RESPONSIBILITIES:

Deep understanding of Globe data, (BSS OSS) and overall Data Cloud framework and architecture to ensure both business and technical scenarios are captured in test strategy 

Create efficient methods and tools to manage test data. This includes tasks like data masking, generation, and ensuring data security and compliance with regulations.

Development of Framework and Innovation initiatives that will improve overall efficiency and delivery processes through Automation and Gen AI 

Validate output of the Data Testing Expert / Tester to ensure all cases are executed and to validate accuracy of test results prior to sign-off.

Requirements detailing through collaboration with Front and Back office to ensure requirements are documented prior to planning

Test Planning: Develop test plans and strategies to validate data flows, including defining test cases, data sets, and expected outcomes.

Collaboration: Collaborate with data engineers, data analysts, and other cross-functional teams to understand data requirements and ensure data quality standards are met.

Data Testing: Conduct thorough testing of data flows, pipelines, and integration points to identify discrepancies, errors, and data quality issues.

Data Validation: High level verification of data accuracy, completeness, and consistency throughout the data journey, from source to destination.

Test Automation: Develop and maintain automated test scripts and frameworks to streamline data flow testing processes.

Documentation: Create and maintain detailed documentation of test cases, test results, and issues discovered during testing.

Performance Testing: Conduct performance testing of data flows to assess system scalability, response times, and resource utilization.

Regression Testing: Perform regression testing to ensure that data flow changes or updates do not introduce new issues or negatively impact existing functionality.

HIRING REQUIREMENTS:

Work Experience

5+ years of solid QA/Testing/Development experience

3+ years of Advanced SQL and Test Automation experience

Level of Knowledge

Bachelor’s Degree in Computer Science, Computer Engineering, Information Systems or related degree

Strong Advanced SQL knowledge

Strong Scripting and Test Automation knowledge

Strong understanding of tools (test automation, jira, git, jenkins) and data quality policies and procedures

Understanding of BSS, OSS , IN, and network systems and data structure is a plus

Proficiency in scripting languages (e.g., Python, SQL) and automation tools

Familiarity with various testing methodologies, (i.e. black-box/white-box testing, regression, etc.)

An in-depth understanding of data concepts, and data structures

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.