Associate - Data Warehousing - IN
The role is responsible for gathering, transforming, and storing data through data acquisition, metadata management, data cleansing, data transformation, data distribution and data recovery/backup planning.
Key Responsibilities and Duties-
They are expected to have specialized knowledge in various ETL (Extract, transform, load) tools such as Informatica, Hyperion etc.
- The applicability of this function is internal as it facilitates leveraging data for decision making purposes.
Educational Requirements-
University (Degree) Preferred
Work Experience-
2+ Years Required; 3+ Years Preferred
Physical Requirements-
Physical Requirements: Sedentary Work
Career Level
6IC
What You Will Do
-
Build and maintain scalable, production-grade data pipelines using Python-based ETL frameworks and tools
-
Develop and optimize Python scripts to transformation, and orchestration workflows
-
Design and implement robust data processing solutions across cloud platforms to support analytics and machine learning initiatives
-
Ensure data quality, consistency, and reliability through comprehensive testing, validation, and monitoring
-
Transform raw data into clean, structured, production-ready datasets that power business intelligence and AI/ML models
-
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions
-
Support and maintain existing Python scripts and AI models that are critical to business operations
What Makes This Position Unique
-
Your work directly supports core data pipelines and AI models that power essential business operations and decision-making
-
Deep focus on Python development for data engineering
-
This is an immediate need to ensure uninterrupted data operations and maintain delivery commitments across the organization
-
Work with modern cloud technologies and platforms to build scalable, distributed data solutions
-
Partner with data scientists, analysts, and business teams to translate requirements into technical solutions
-
Opportunity to establish best practices for data quality, pipeline orchestration, and automation standards
What You Bring
-
[6+] years of hands-on experience in data engineering with strong Python development skills
-
Expert-level proficiency in Python for data processing, including libraries such as Pandas, NumPy, and similar frameworks
-
Proven experience building and maintaining ETL/ELT pipelines using Python-based frameworks (e.g., Apache Airflow, Glue,lambda)
-
Strong understanding of data modeling, data warehousing concepts, and database technologies (SQL and NoSQL)
-
Hands-on experience with cloud platforms (AWS) and cloud-native data services
-
Familiarity with version control (Git), CI/CD practices, and collaborative development workflows
-
Understanding of machine learning workflows and requirements for ML-ready datasets
-
Strong analytical and problem-solving abilities with attention to data accuracy and reliability
-
Excellent communication skills and ability to work effectively with technical and non-technical stakeholders
Related Skills
Collaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling
_____________________________________________________________________________________________________
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.
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: [email protected]
