Associate - Data Engineering

TIAA; Maharashtra; On-site; INR 600,000 - 900,000; Full time

Job summary

TIAA is seeking a Data Engineering Associate IN to contribute to the data supply chain for the distribution platform. You will work on large-scale data projects, focusing on collecting, parsing, and managing data to enable access for diverse users and ensure data quality.

The role emphasizes data accuracy, governance, and collaboration with teams across the organization to support sales, service, and strategic planning. 2+ years of relevant experience is preferred.

Qualifications

• 2+ years of experience in data engineering or related field.
• Experience with large-scale data processing and data quality control.

Responsibilities

• Collects data, performs large-scale processing, and delivers to user community.
• Data administration and planning—resolves systemic errors, monitors data ecosystem, scales up, supports governance.
• Implement and monitor automated data controls.
• Identifies syntax, structure, and semantics for each data source.
• Suggests improvements to data ecosystem and participates in implementation.
• Manage cyclical production releases and maintain up-to-date documentation; communicate data issues to stakeholders.

Skills

API Development

Automation

Communication

Containerization

DevOps

Systems Design

Problem Solving

Prototyping

Relationship Management

SDLC

Education

University Degree Preferred

Job description

Data Engineering - Associate IN

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

Data Engineering - Associate IN

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

• 2+ Years Required; 3+ Years Preferred

Career Level

6IC

Related Skills

Application Programming Interface (API) Development/Integration, Automation, 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

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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.

We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.

Our Culture of Impact

At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger.

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