Data Engineering - Associate
Position Summary : Data Engineering Associates are critical members of the data supply chain for distribution platform. 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. The associates will own the data quality control process. Impact : Customer data is used to ensure high quality customer servicing, efficient distribution management and critical inputs to strategic planning and performance measurement. Data accuracy and completeness are critical enablers to a high performing distribution platform that supports all elements of sales, service and support
Key Responsibilities And Duties
- Collects the data, does large scale processing and delivers to user community
- Data administration and planning - resolves systemic errors, monitors the data ecosystem, develops strategies to scale up, addresses continuous integration, supports data management and governance
- Implement and monitor automated data controls
- Identifies syntax, structure, and semantics for each data source
- Provides ideas to improve data ecosystem effectiveness and efficiency; participates in the implementation
- Manage cyclical production releases. Maintain accurate and up to date documentation on each solution. Communicate known data issues to stakeholders.
Educational Requirements
- University (Degree) Preferred
Work Experience
- 3+ Years Required; 5+ Years Preferred
Physical Requirements
- Physical Requirements: Sedentary Work
Career Level
7IC
Position Summary and Impact:
Position Summary: Data Engineering Associates are critical members of the data supply chain for Distibution platform. 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.
Impact: Customer data is used to ensure high quality customer servicing, efficient distribution management and critical inputs to strategic planning and performance measurement. Data accuracy and completeness are critical enablers to a high performing distribution platform that supports all elements of sales, service and support.
Functional Responsibilities:
- Collects the data, does large scale processing and delivers to user community.
- Data administration and planning - resolves systemic errors, monitors the data ecosystem, develops strategies to scale up, addresses continuous integration, supports data management and governance.
- Identifies syntax, structure, and semantics for each data source.
- Provides ideas to improve data ecosystem effectiveness and efficiency; participates in the implementation.
- Provides adhoc analysis and reporting assistance from various internal departments.
Required Education: Bachelor's Degree in data analytics/computer science or engineer.
Required Experience: 5-10 years .
Experience, Skills and Abilities:
Experience:
- Strong knowledge on databases and best engineering practices
- Expertise in Snowflake data architecture, ingestion and integration
- Ability to profile data to measure quality, integrity, accuracy, and completeness
- Proven experience with data preparation and blending for reporting and analytical purposes
- Hands-on experience on all aspects of data warehousing and schema. Proficient in designing efficient and robust ETL workflows
- Knowledge of asset management industry and financial products (mutual funds, managed accounts, ETFs, etc.) and CRM desired
Technical Skills:
- Strong MS SQL Server
- Advanced Tableau (server and desktop) authoring
- Extensive experience with and strong understanding of relational databases
- Tableau CRM (Formerly Einstein Analytics) knowledge Strongly Desired
- VB, Python, R Studio desired
- Alteryx .
Interpersonal Skills:
- Exceptionally good with interpersonal and communication skills including ability to communicate complex information and analysis in written and visual forms
- High attention to data accuracy
- Ability to work in an agile team
- Critical thinking to ask questions, determine best course and offer solutions
- Ability to complete work independently
- Continuous improvement mindset
- Ability to understand the big picture
- Teamwork skills within the department and on project teams
- Demonstrated ability to work effectively in a fast-paced, complex, and dynamic business environment.
- Demonstrated and dynamic analytical/problem solving skills.
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Company Overview
TIAA GBS India 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 GBS India 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.
We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.
Accessibility Support
TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.
If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team:
Phone: (800) 842-2755
Email: accessibility.support@tiaa.org
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