Sr Engineer, Data

About T-Mobile: T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s 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 company’s 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. Sr. Engineer, Data – Data Ops (L08) About the Role: The Sr. Engineer, Data is responsible for designing, developing, operating, and supporting scalable data architectures and ingestion pipelines across on-premises, cloud, and hybrid environments to meet enterprise data and analytics needs. The role partners with data engineers and cross-functional teams to architect, build, deploy, and support data warehouse and business analytics solutions in a highly dynamic 24x7 operational environment. Key responsibilities include operating and optimizing complex data pipelines, ensuring reliable data delivery, automating manual and operational processes using Python, Spark, Scala, Databricks, SQL, Snowflake, and Azure, and supporting platform health, compliance, and incident response. As a core member of T-Mobile’s Data Operations Center of Excellence, the Sr. Engineer drives operational excellence, reliability, and continuous improvement while mentoring team members and strengthening data engineering and operational maturity. What You’ll Do: What You’ll Bring: Must Have Skills: Nice to Have: 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 Build and optimize data pipelines to improve data delivery, reliability, and performance Automate manual processes using Python, Spark, Databricks, SQL, and cloud technologies Mentor and guide team members to strengthen data engineering skills and professional growth Contribute to team knowledge sharing and advancement of data engineering standards Support project definition activities including estimation, planning, and scoping Foster a collaborative, influence-driven team culture with high individual accountability and technical depth Bachelor’s degree in computer science, Computer Engineering, or a related field, or equivalent practical experience 5–7 years of hands-on experience designing, building, and supporting data engineering and ingestion solutions Strong experience developing and migrating data solutions across cloud platforms (Azure, AWS, 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 Experience working in collaborative, cross-functional teams with high accountability Experience designing, building, and optimizing data ingestion pipelines using Python and SQL Hands-on experience with cloud-native data platforms and services, including ADF, ADLS , Databricks, and Snowflake Experience triaging and remediating code and data issues in complex ETL/ELT pipelines Familiarity with CI/CD and DevOps practices, including Git, pipelines, automated testing, and deployments Experience with SQL, NoSQL, Vector, and relational database design and development Proficiency in data pipeline development using Python and experience with languages such as DAX, Java, Scala, and/or Go Working knowledge of message queuing, stream processing, and scalable big-data data stores Ability to manage and support batch and streaming data pipelines across enterprise and cloud platforms 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 means that 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 will never 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 candidate’s acceptance of a formal offer.