Developers, Database

T-Mobile•Frisco, TX

2d•$116,896 - $121,896•Hybrid

About The Position

T-Mobile is hiring a Database Developer to develop ETL pipelines into and out of the data warehouse using Python and Snowflake SnowSQL. The role develops data movements using Snowflake features and uses Big Data technologies such as Kafka and Snowflake to store, curate, process, and publish datasets for business users and applications. It also integrates on-premises infrastructure with public cloud infrastructure such as AWS and Azure, and supports database applications, data pipelines, data warehouses, and reporting services. The position works with IT partners and users to define projects, handles multiple platforms and projects concurrently, and performs technical analysis, debugging, troubleshooting, coding, and unit testing. The employee tests and documents implementations, manages database security, translates BI and reporting requirements into database and reporting designs, and collaborates with business and IT teams on roadmaps and emerging data capabilities. Telecommuting is permitted, but the employee must work from the Frisco, Texas worksite at least 3–4 days per week. No travel is anticipated. The role is 40 hours per week.

Requirements

Bachelor’s degree in Data Analytics Engineering or a related field and 3 years of relevant work experience; alternatively, a master’s degree in Data Analytics Engineering or a related field and 1 year of relevant work experience.
Experience leveraging SnowSQL to extract and transform data between internal databases and create curated datasets.
Experience utilizing Databricks Workflows to orchestrate and schedule automated jobs.
Experience designing Tableau and Power BI dashboards.
Ability to translate strategic goals into technical testing requirements for credit strategy implementations.
Experience performing ad-hoc SQL analysis and testing complex datasets.
Experience developing and maintaining data dictionaries for KPIs.
At least 18 years of age.
Legally authorized to work in the United States.

Responsibilities

Develop ETL pipelines into and out of the data warehouse using Python and Snowflake SnowSQL.
Develop data movements using Snowflake capabilities such as SnowSQL, Tasks, Streams, Time Travel, Data Sharing, and stored procedures.
Use Big Data technologies such as Kafka, Snowflake, and related tools to store, curate, process, and publish datasets for downstream business users and applications.
Integrate on-premises infrastructure with public cloud infrastructure such as AWS and Azure.
Participate in the development, improvement, and maintenance of database applications.
Work with IT partners and the user community to define projects and manage multiple platforms and projects concurrently.
Perform technical analysis, debugging, troubleshooting, code development, and unit testing for complex modules and projects.
Support multidisciplinary work involving data pipelines, data warehouses, and reporting services.
Test and document implementations, including requirements, implementation details, and test conditions.
Manage database security, including account administration, password policy, data encryption, network encryption, and firewall rules.
Translate BI and reporting requirements into database and reporting designs.
Understand and automate data pipelines using cloud-based and on-premises technologies.
Collaborate with business and IT partner teams on business capability and technology roadmaps, and stay informed about emerging strategic capabilities and data availability.
Apply time-management and project-management fundamentals, including scheduling and resourcing.
Use SnowSQL to extract and transform data between internal databases and create curated datasets for business insights.
Use Databricks Workflows to orchestrate and schedule automated jobs, ensuring data availability and reducing manual dependencies.
Design Tableau and Power BI dashboards to track KPIs and support credit-risk mitigation and strategic decisions.
Translate strategic goals into technical testing requirements for credit strategy implementations as a bridge between business and IT teams.
Perform ad-hoc SQL analysis and regular testing to verify complex dataset accuracy and the reliability of business deliverables.
Develop and maintain data dictionaries for key KPIs to support consistent definitions and measurement across business teams.