Senior Data Engineer, Big Data
T-Mobile
Mobile Communications Service Providers
Philadelphia, PA - USA
Senior Specialist / Project Manager
Experteer Overview
As a Data Architect, you will design and implement data architectures across on-premises, cloud, and hybrid environments to support analytics and business insights. You will work with data engineers to build scalable data pipelines and data warehousing solutions, while mentoring the team and driving architectural innovation. Your work enables data-driven decision-making and advances our data infrastructure. This role offers impact across cross-functional teams and a path to grow technical and leadership capabilities.
Compensation / Benefits
- medical, dental and vision insurance
- 401(k) and employee stock plans
- paid time off and holidays
- paid parental and family leave
- tuition assistance
- commuter and transit programs
Responsibilities
- Design and develop data architectures across on-premise, cloud, and hybrid platforms for scalable infrastructure
- Develop data engineering solutions enabling pipelines, visualization, and analytics tools
- Perform data wrangling and discovery to generate business insights
- Contribute to team knowledge sharing and advance data engineering capabilities
- Mentor team members to grow data engineering skills
- Assist management in defining, estimating, planning, and scoping projects
- Take on additional duties as assigned by management
Key requirements
- Bachelor's Degree in Computer Engineering or Computer Science (or related field) with 5+ years of experience OR Advanced degree with 3+ years of experience
- 4-7 years developing cloud solutions on AWS, Azure, or Google Cloud
- 4-7 years hands-on development migrating data to cloud platforms
- 4-7 years experience with SQL, NoSQL, and relational database design and development
- 4-7 years advanced experience building complex data pipelines with Python and languages such as SQL, DAX, Java, Scala, or Go
Description
As a Data Architect, you will design and implement data architectures across on-premises, cloud, and hybrid environments to support analytic…
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