Analyst - Data Engineering

Nuveen; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Nuveen's Marketing & Communications Data Engineering team in Mumbai is seeking a detail-oriented Data Engineering Analyst to build scalable pipelines for marketing analytics, campaign measurement and customer segmentation. You will collaborate with marketing technology, analytics, and business stakeholders to ensure data is reliable and actionable.

You will also implement data quality controls, document data sources, and support governance initiatives to enable semantic data layers and

Qualifications

• Strong Python and SQL for data extraction, transformation, and validation.
• Experience with Snowflake or similar cloud data platforms.
• Understanding of data quality concepts and ETL/ELT processes.
• Familiarity with marketing data platforms (GA, SFMC, CRM).
• Excellent analytical and problem-solving skills.
• Strong communication with technical and business stakeholders.

Responsibilities

• Build, maintain, and optimize data pipelines for marketing analytics and customer segmentation.
• Collect, process, and deliver large-scale marketing data with accuracy and timeliness.
• Resolve data errors and monitor the data ecosystem.
• Implement automated data quality controls across marketing data platforms.
• Document data source syntax, structure, and semantics for stakeholders.
• Manage production releases with up-to-date documentation and issue communication.
• Support data governance initiatives aligned with enterprise data strategy.
• Collaborate with teams to translate data requirements into scalable solutions.
• Curate clean datasets and metadata to support semantic data layers and AI consumption.

Skills

Python

SQL

Snowflake

ETL/ELT

Data quality concepts

API/File Transfer pipelines

Marketing data platforms

Analytical skills

Communication with stakeholders

Education

University degree preferred

Tools

Cloud-based data platforms (e.g., Snowflake, AWS)

Job description

Key Responsibilities and Duties

We are seeking a detail-oriented and technically strong Data Engineering Analyst to join TIAA's Marketing & Communications Data Engineering team. This role is responsible for implementing large-scale, complex data projects that support marketing analytics, campaign measurement, brand research, and customer insights initiatives. The analyst will work closely with marketing technology, analytics, and business stakeholders to ensure high-quality data is accessible, reliable, and actionable. Working under direct supervision, this contributes to building and maintaining scalable data pipelines that power TIAA's marketing and communications strategies.

• Build, maintain, and optimize data pipelines that support marketing analytics, campaign performance measurement, brand tracking, and customer segmentation initiatives.
• Collect, process, and deliver large-scale marketing and customer data to the user community, ensuring accuracy, completeness, and timeliness.
• Resolve systemic data errors, monitor the marketing data ecosystem, and develop strategies to scale data solutions.
• Implement and monitor automated data quality controls to maintain data integrity across marketing data platforms.
• Identify syntax, structure, and semantics for each marketing data source and document findings for stakeholder use.
• Manage cyclical production releases by maintaining accurate and up-to-date documentation and communicating known data issues to marketing and analytics stakeholders.
• Support data governance and stewardship initiatives in alignment with TIAA's enterprise data strategy.
• Collaborate with marketing technology, analytics, and business teams to understand data requirements and translate them into scalable data engineering solutions.
• Assist in curating clean, consistently defined datasets and metadata that can support semantic data layers and responsible AI consumption.

Educational Requirements

University (Degree) Preferred

Work Experience

No Experience Required

Career Level 5IC

Required Skills

• Strong hands-on experience with Python, and SQL for data extraction, transformation, and validation.
• Experience working with Snowflake or similar cloud-based data platforms like AWS etc.
• Understanding of data quality concepts, API/File Transfer based data pipelines, and ETL/ELT processes.
• Familiarity with marketing data platforms like Google Analytics, SFMC, or CRM data is a plus.
• Strong analytical and problem-solving skills with keen attention to detail.
• Good communication skills to interact with both technical and business stakeholders across marketing and technology functions.

Preferred Skills

• Experience with Python for data automation, transformation, or validation tasks.
• Exposure to marketing analytics platforms or marketing data ecosystems.
• Familiarity with data governance tools and practices.
• Experience working with large and complex datasets.
• Basic familiarity with AI/ML data preparation, semantic or logical data layers, or retrieval‑augmented generation (RAG) concepts is a plus.
• Exposure to responsible AI, AI governance, feature stores, vector databases, or semantic-layer tooling such as dbt is a good to have.

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, and 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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