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:
Engineer, Data is responsible for building, maintaining, and optimizing scalable data infrastructure that supports efficient extraction, transformation, and loading of data from diverse sources. This role designs and implements robust data pipelines, optimizes data delivery, and automates manual processes using modern programming languages and cloud technologies. The Engineer, Data focuses on scalable infrastructure and close collaboration with analytics and data science teams to enhance data functionality. Success is measured by the reliability, scalability, and efficiency of data systems and the actionable insights they enable. This work supports organizational decision-making and operational efficiency by providing robust data solutions to internal stakeholders.
What Youll Do:

• Design, build, and maintain scalable data pipeline architectures to ensure efficient data processing and delivery
• Assemble and integrate large, complex data sets that meet business and technical requirements
• Develop analytics tools that leverage data pipelines to generate insights on business performance metrics
• Collaborate with stakeholders to resolve data-related technical issues and support data infrastructure needs
• Create data tools that assist analytics and data science teams in optimizing product and business performance
• Work with data and analytics experts to enhance data system functionality and capabilities
• Optimize data pipelines and platforms for reliability, scalability, and performance across cloud environments

What Youll Bring:

• Bachelors Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field, or equivalent practical experience
• 35 years of experience in Data Engineering or a closely related technical role
• Hands-on experience designing, building, and operating modern data pipelines and data platforms
• Strong problem-solving skills, including the ability to perform root cause analysis on internal and external data and processes
• Ability to manage work across multiple projects with strong organizational and prioritization skills
• Strong written and verbal communication skills to collaborate effectively with technical and non-technical partners

Must Have Skills:

• Advanced working knowledge of SQL and experience working with relational databases SQL OR Oracle OR Mysql
• Proficiency in programming languages such as Python, Java, Scala, Go, and SQL
• Experience with big data technologies and platforms including Databricks, Spark, Kafka, and cloud-native data services
• Experience building and optimizing large-scale data pipelines, architectures, and data sets
• Strong understanding of ETL/ELT patterns and data engineering best practices
• Ability to develop, support, and operate data platforms across cloud and enterprise environments

Nice to Have:

• Experience with additional cloud or data platform certifications, such as Microsoft Azure Data Engineer (DP-203) or equivalent
• Experience supporting analytics or data science teams with production-grade data tooling
• Familiarity with performance tuning and optimization of large-scale data systems
• Experience working in agile or iterative development environments

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