MU-Data Engineers II

T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network. The MU-Data Engineers II will provide direct data engineering development to data pipelines for ETL establishment and enhancements, collaborating with cross-functional teams to ensure accurate data for analytics and reporting requirements.

Responsibilities:

• Work collaboratively with cross-functional teams to determine data transformation needs, establish data collection requirements, and deploy & maintain accurate data to ensure metrics & dimensions are addressed for analytics/reporting requirements
• Participate in daily/weekly SCRUM ceremonies
• Transform required data conditions into performance code logic
• Develop high-performance code in SQL and Python
• Develop, automate, and enhance ELT processes for continuous data flow
• Onboard domain data as custom attributes and events to external systems such as Braze, Customer Journey
• Maintain data daily updates and core logic integrity
• Provide support to troubleshoot data anomalies and apply resolutions
• Create, modify, and deploy code to production via AWS resources including Lambda, S3, Glue, Redshift, etc
• Partner with stakeholders to support the implementation and development of data requirements
• Troubleshoot data anomalies and provide applicable solutions
• Build, test, and maintain database pipeline architectures
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
• Integrate customer data between digital stack and customer engagement platform
• Provide guidance and data development nurturing to Level 1 Data Engineering
• Create technical documentation for process runbooks
• Apply data development to data architectures and enterprise level projects

Requirements:

• Bachelor's degree (or foreign equivalent) in computer science, any engineering, data science or closely related field
• 2 years of relevant experience
• Advanced level in SQL and Python for data engineering and backend development
• Understanding of popular code development approaches: Test-driven development & Continuous Integration/Continuous Deployment (CI/CD)
• Experienced working with AWS services (Lambda, S3, Glue, Redshift etc.) and Cloud Data Warehouse
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Define digital data collection methods and implementations to DWH and customer management platforms
• Provide guidance to website tagging, digital data integration and collections
• Experienced with QA testing process to verify data is collected & rendered as expected
• Prior working knowledge of Braze or other Customer Management Platforms
• Snowflake Cloud Data Warehouse
• Terraform/Bitbucket/Airflow/Jenkins
• Tableau, Tealium, Google Tag Management & GA360