Analyst - Big Data Engineering - IN

Professionals in this group design and implement high-performance, scalable and optimized data solutions for large enterprise wide data mining and processing.

Key Responsibilities and Duties

- They are responsible for design and development of data flows and Big Data Platform deployment and implementation.
- Incumbents usually require expert knowledge in Apache, Hadoop, NoSQL databases, Spark, Hive etc.

Educational Requirements

- Vocational and/or Technical Education Preferred

Work Experience

- 3+ Years Required; 5+ Years Preferred

Physical Requirements

- Physical Requirements: Sedentary Work

Career Level 4IC

Role Description

The Analyst is responsible for providing L2/L3 production support for enterprise data products on the Enterprise Data Cloud (AWS), ensuring platform stability, data reliability, and timely incident resolution. The role involves monitoring and supporting batch data pipelines, investigating data issues, resolving user-reported incidents and service requests, performing root cause analysis, and driving operational improvements through automation.

The ideal candidate should have 2–3 years of experience, a strong learning mindset, the ability to quickly adapt to new technologies and business domains, and an AI-first approach to improve productivity and operational efficiency. The role requires hands-on experience with Snowflake, Apache Airflow, Python, AWS, SQL, and contemporary DataOps practices.

Key Responsibilities

- Provide L2/L3 support for Enterprise Data Cloud data products, ensuring adherence to SLAs and operational KPIs.
- Monitor, investigate, and resolve batch failures, data issues, user incidents, and service requests with minimal business impact.
- Perform root cause analysis (RCA) and implement preventive actions to reduce recurring issues.
- Support production deployments, release validations, and post-release monitoring.
- Troubleshoot data pipelines built on Snowflake, Airflow, Python, AWS, and SQL.
- Leverage AI, automation, and scripting to improve operational efficiency, reduce manual effort, and enhance monitoring.
- Collaborate with Data Engineering, Platform Engineering, and business stakeholders to ensure reliable and high-quality data delivery.
- Continuously learn current technologies,



contribute to knowledge sharing, and identify opportunities to improve platform stability and support processes.

Desired Profile

- 2–3 years of experience in Production Support, Data Engineering Support, or Data Warehouse Support.
- Strong analytical and problem-solving skills with excellent learning agility.
- Quick learner who adapts rapidly to changing technologies and business priorities.
- Hands-on experience with Snowflake, Airflow, Python, SQL, and AWS.
- AI mindset with a passion for leveraging automation and Generative AI to improve support operations.
- Strong ownership, communication, and collaboration skills.

Technical Skills

Required

- Snowflake
- Apache Airflow
- SQL
- Python
- AWS (S3, IAM, CloudWatch, Glue, Lambda, RDS)
- Linux/Unix
- Git
- Incident, Problem, and Change Management

Preferred

- Data Warehouse / Data Lake concepts
- ETL/ELT frameworks
- Splunk or enterprise monitoring tools
- CI/CD pipelines
- ITIL Foundation Certification

Related SkillsCollaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling

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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.

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]

Privacy Notices For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here.

For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here.

For Applicants of TIAA Global Capabilities, click here.

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📌 Analyst - Big Data Engineering (Pune)
🏢 Tiaa External Schroder Internal
📍 Pune