Engineer, Data

Engineer, Data Back Office (L08)

About T-Mobile:

About the Role:

The Data Engineer builds and maintains foundational data pipelines and database structures that support analytics and reporting use cases. This role focuses on strong relational database fundamentals, hands-on SQL development, and close collaboration with analytics and business partners. Success is measured by the reliability, structure, and usability of delivered data assets.

What Youll Do:

What Youll Bring:

Must Have Skills:

Nice to Have:

• Design, build, and maintain scalable batch and nearreal-time data pipelines
• Develop and optimize relational data models, including keys and indexing strategies
• Write and maintain SQL transformations, views, and stored procedures
• Integrate large, complex datasets that meet business and technical requirements
• Partner with analytics and business teams to resolve data issues
• Perform root-cause analysis on data quality and pipeline failures
• Contribute to documentation and operational best practices
• Bachelors Degree or equivalent experience
• 3-5 years of related data engineering experience
• Strong collaboration and problem-solving skills
• Advanced SQL development and performance tuning
• Relational database and data warehousing concepts
• ETL/ELT pipeline fundamentals
• Experience with cloud data platforms (Azure, AWS, or GCP)
• Version control using GitHub or GitLab
• Snowflake, Databricks, or Azure Data Factory
• Power BI or similar reporting tools
• Python or scripting for data processing
• Basic data governance and quality concepts

TMUS India Private Limited, operating as TMUS Global Solutions, has engaged ANSR, Inc. ("ANSR") as its exclusive recruiting partner. That meansthat any communications regarding TMUS Global Solutions opportunities or employment offers will be issued only through ANSR and the 1Recruit platform. If you receive a communication or offer from another individual or entity, please notify TMUS Global Solutions immediately.

TMUS Global Solutions willnever seek any payment or other compensation during the hiring process or request sensitive personal data (such as bank details or government-issued identification numbers) prior to a candidates acceptance of a formal offer.