Engineer, Data

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 Engineer Data - Data Operations L08 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 About the Role Engineer Data Data Operations is responsible for designing developing and supporting scalable data architectures and ingestion pipelines across on-premises cloud and hybrid platforms to meet enterprise data and analytics needs in a highly dynamic 24x7 operational environment This role builds resilient scalable cloud-native systems that integrate software engineering infrastructure and operations to drive automation efficiency and reliability This position is central to T-Mobiles Data Operations Center of Excellence enabling operational reliability automation and compliance for platforms like Snowflake Databricks and Azure The engineer collaborates across teams drives technical excellence and champions a culture of accountability systems thinking and continuous improvement This position bridges DevOps Data Ops and Platform Operations disciplines and directly supports T-Mobiles builder culture and cloud transformation strategy What Youll Do What Youll 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 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 Support continuous improvement initiatives and perform other duties as assigned Bachelors Degree in Computer Science Computer Engineering or a related field or equivalent practical experience 35 years of hands-on experience designing building and supporting data engineering and ingestion solutions Experience developing and migrating data solutions across cloud platforms Azure AWS GCP 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 Experience with data visualization tools such as Power BI Tableau Metric Insights or Qlik Sense Experience with data virtualization tools such as Denodo or analytical tools such as SAS Experience with on-prem platforms such as Hadoop 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