Company Overview:
TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.
Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.
Educational Requirements:
- University (Degree) Preferred
Work Experience:
- No Experience Required
Related Skills:
- Application Programming Interface (API) Development/Application Programming Interface.
- Communication, Consultative Communication, Containerization
- DevOps, Enterprise Application Integration
- Influence, Organizational Savviness, Problem Solving, Prototyping, Relationship Management
- Scalability/Reliability, Software Development Life Cycle, Systems Design/Analysis.
Key Responsibilities and Duties
The Data Engineer Analyst implements large scale, complex data projects with a focus on collecting, parsing, managing, analyzing large sets of data to make the appropriate data accessible and available for use by variety of users.
This job ensures high quality customer servicing, efficient distribution management and provides critical inputs to strategic planning and performance measurement. Working under direct supervision, this job owns the data quality control process.
- Collects the data, does large scale processing and delivers to user community
- Resolves systemic errors, monitors the data ecosystem, develops strategies to scale up, addresses continuous integration, and supports data management and governance.
- Implements and monitors automated data controls.
- Identifies syntax, structure, and semantics for each data source.
- Provides ideas to improve data ecosystem effectiveness and efficiency and participates in the implementation process.
- Manages cyclical production releases by maintaining accurate and up to date documentation on each solution and communicating known data issues to stakeholders.