Job Description

About TMUS Global Solutions
T-Mobile is America's supercharged Un-carrier, challenging conventions and setting new standards in wireless. With the nation's largest and fastest 5G network, T-Mobile delivers advanced connectivity and unmatched value to millions across the U.S. We're unwaveringly obsessed with providing the best possible service experience, driven by a spirit of disruption that fuels competition and innovation in wireless and beyond.

About T-Mobile:
T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is Americas supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.
About TMUS Global Solutions:
TMUS Global Solutions is a world-class technology powerhouse accelerating the companys global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.
TMUS India Private Limited operates as TMUS Global Solutions.
About the Role:
The Data Engineer designs, builds, and owns end-to-end data pipelines that power analytics, reporting, and data products across the lakehouse. This role is responsible for ingesting data from source systems, transforming and validating data across bronze, silver, and gold layers, and ensuring high-quality, trusted datasets for downstream consumption.
Success in this role is measured by the reliability, scalability, data quality, and business readiness of delivered data assets, as well as strong collaboration with global engineering, analytics, and business partners.
What Youll Do:

• Design, build, and maintain scalable batch and nearreal-time data pipelines across the lakehouse
• Own data ingestion patterns from source systems into bronze layers
• Develop and maintain transformation logic across silver and gold layers using SQL and Python
• Implement data validation, reconciliation, and quality checks to ensure trusted datasets
• Build and optimize data models that support analytics, reporting, and downstream data products
• Partner with analytics, and business teams to understand requirements and implement robust data solutions
• Perform root-cause analysis and resolution of data quality issues and pipeline failures
• Contribute to documentation, operational runbooks, and engineering best practices
• Support production monitoring, incident response, and continuous improvement of data pipelines

What Youll Bring:

• Bachelors Degree or equivalent experience
• 3-5 years of related data engineering experience
• Strong collaboration and problem-solving skills
• Ability to work effectively in a globally distributed team environment

Must Have Skills:

• Advanced SQL development and performance tuning
• Relational database and data warehousing concepts
• ETL/ELT pipeline fundamentals
• Familiarity with medallion (bronze/silver/gold) data architecture patterns
• Experience building and supporting data pipelines in a lakehouse or cloud data platform
• Experience with cloud data platforms (Azure, AWS, or GCP)
• Version control using GitHub or GitLab
• Databricks, Azure Data Factory or Snowflake
• Proficiency with Python (or similar language) for data processing and automation

Nice to Have:

• Power BI or similar reporting tools
• 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.

Skills Required