Engineer, Data [T500-22291]

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.

Role Summary:

The Data Engineer is responsible for building and maintaining foundational data pipelines and database structures that support analytics and reporting use cases. This role emphasizes strong database fundamentals, hands-on SQL development, and collaboration with analytics stakeholders to deliver reliable and well-structured data.

Key Responsibilities:

• Design, build, and maintain scalable batch and nearreal-time data pipelines
• Develop and optimize relational data models, including table structures, keys, and indexing strategies
• Write and maintain SQL-based transformations, views, and stored procedures
• Assemble and integrate large, complex datasets that meet business and technical requirements
• Partner with analytics, reporting, and business teams to understand data needs and resolve data issues
• Perform root-cause analysis on data quality, pipeline failures, and performance bottlenecks
• Contribute to documentation and operational best practices
• Support additional data-related initiatives as assigned

Required Qualifications:

• Strong experience with SQL development , including:
• Table design and normalization
• Stored procedure and view creation
• Query optimization and performance tuning
• Experience working with relational databases and data warehousing concepts
• Familiarity with ETL/ELT concepts and data pipeline development
• Exposure to cloud data platforms (Azure, AWS, or GCP)
• Experience with version control tools (GitHub/GitLab)

Preferred Skills:

• Experience with Snowflake, Databricks, Azure Data Factory, AWS Glue, or similar tools
• Familiarity with reporting tools such as Power BI
• Exposure to Python or similar scripting languages for data processing
• Understanding of basic data governance and data quality principles