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:
Sr Engineer, Data is responsible for designing and developing scalable data architectures and ingestion pipelines across on-premises, cloud, and hybrid platforms to support enterprise data and analytics needs. This role collaborates closely with data engineers to analyze, architect, design, and deliver data warehouse and business analytics solutions. The Sr Engineer designs and implements complex data pipelines, optimizes data delivery, and automates manual processes using Python, Spark, Scala, Databricks, SQL, and cloud technologies such as Azure. The role includes mentoring team members to strengthen data engineering capabilities and drive technical excellence. Success is measured by the effectiveness of data engineering solutions, team skill development, and contributions to data architecture innovation that enable data-driven decision-making.
What Youll Do:

• Design and develop data engineering solutions that enable data ingestion pipelines, visualization, and analytical tools to meet business requirements
• Architect and implement scalable data platforms across on-premises, cloud, and hybrid environments
• Design, build, and optimize data pipelines to improve data delivery, reliability, and performance
• Perform data wrangling, exploration, and discovery across heterogeneous data sources to generate new business insights
• Build and enhance batch and streaming data pipelines using modern data integration and ingestion patterns
• Contribute to team knowledge sharing and advancement of data engineering standards and capabilities
• Mentor and guide team members to strengthen data engineering skills and professional growth
• Support project definition activities including estimation, planning, and scoping in partnership with management

What Youll Bring:

• Bachelors Degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience
• 57 years of hands-on experience designing, building, and supporting data engineering and ingestion solutions
• Strong experience developing and migrating data solutions across cloud platforms such as Azure, AWS, or GCP
• Demonstrated experience automating data pipelines using Python and modern cloud-native technologies
• Strong analytical and problem-solving skills applied to complex data ingestion and integration challenges
• Ability to manage multiple workstreams with strong organizational and prioritization skills
• Passion for learning and applying new data engineering and platform technologies

Must Have Skills:

• Advanced experience designing, building, and optimizing complex data ingestion pipelines using Python and SQL
• Hands-on experience with cloud-native data platforms and services, including Azure, Databricks, and Snowflake
• Experience developing and migrating data solutions across cloud environments (Azure, AWS, or GCP)
• Strong experience with SQL, NoSQL, and relational database design and development
• Proficiency in data pipeline development using Python and experience with languages such as SQL, DAX, Java, Scala, and/or Go
• Working knowledge of message queuing, stream processing, and highly scalable big-data data stores
• Ability to manage and support batch and streaming data pipelines across enterprise and cloud platforms

Nice to Have:

• Cloud or data platform certifications such as Microsoft Azure Data Engineer (DP-203), AWS, Snowflake, or Databricks
• Experience contributing to data architecture standards and ingestion framework design
• Experience supporting analytics and business intelligence use cases at scale
• Exposure to advanced data orchestration, real-time ingestion, or event-driven architectures

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