Jobs / T-M***
Sr Engineer, Data - Finance Domain
T-M*** · Frisco, TX, United States
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Frisco, TX, United States105,100-189,600 USD/yearlyHybrid
Remuneration
105,100-189,600 USD/yearly
Location
Frisco, TX, United States
Visa sponsorship
Sponsors visa
Job summary
At T-M***, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards.
Benefits
All team members receive a competitive base salary and compensation package - thExemplify the spirit of One Team, Together!A big part of how we care for one another is working to ensure ourEvolve to meet the needs of our team members.Full and part-time employees have access to the sameWhen eligible.To learn about T-Mobile’s amazingCheck out www.t-mobileNever stop growing!As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate lBy applying for this career opportunity, you’re living our values while investinYou’re unstoppable!
Qualifications
- Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure.
- Build and maintain ingestion pipelines from Finance source systems, including ERP platforms, relational databases, flat files, cloud data warehouses, and API-based feeds, into governed cloud data lake environments.
- Develop and maintain transformation logic and reusable data models using SQL, Python, Databricks, dbt, and related data engineering
- into reliable pipeline and data model designs.
- Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.
- Mentor team members to build and enhance their data engineering
- Hands-on experience building, operating, and solving production data pipelines in cloud, hybrid, or data lakehouse environments.
- Experience developing scalable data models, transformation logic, and curated datasets using SQL, Python, Databricks, or comparable data engineering
- into reliable data solutions.
- KNOWLEDGE,
- 8+ years of data engineering experience.
- 5+ years of experience in cloud-based data lakehouse environments.
Responsibilities
- The role includes mentoring team members to enhance their data engineering
- Develop data engineering solutions that enable data pipelines, visualization, analytical
- projects as assigned by business management as needed.
- EDUCATION AND WORK EXPERIENCE
- Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
- Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)
- 4-7 years Developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) (Required)
- 4-7 years Hands-on development using and migrating data to cloud platforms (Required)
- Proven track record in SQL, NoSQL, and/or relational database design and development (Required)
- 4-7 years Advanced knowledge and experience in building sophisticated data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go (Required)
- ADDITIONAL
- Required
Certifications
AWS CertifiedAWS Certified Cloud PractitionerAWS Certified Solutions ArchitectMCSAMicrosoft Certified
Degrees
AssociateBachelorDegree
Languages
Arabic
Travel
Travel
Industry
AutomotiveEducationInsuranceLogisticsManufacturingPublic-sector
Company size
EnterpriseSmb
Contract length
5 years
Security clearance
Baseline