TIAA Recruitment 2026: Apply for TIAA Recruitment 2026 Analyst – Data Engineering jobs in Mumbai and Pune. Freshers and early-career candidates can explore eligibility, skills, responsibilities, and the official apply link before October 31, 2026.
🔍 About TIAA:
At TIAA, we believe everyone has the right to retire with dignity. For more than 100 years, we’ve provided retirement plans, insurance, and investment services, empowering millions of people— in education, healthcare, and nonprofit —with the knowledge, guidance, and lifetime income needed to plan their futures. We are fighting to ensure a more secure financial future for all and for generations to come.
💼 Job Role: Analyst – Data Engineer
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Job Description:
- 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.
Responsibilities:
- 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.
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.
End Date:
- October 30, 2026
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Qualification: B.E / B.Tech
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Work Experience: Freshers / Experienced
How to Apply for TIAA Recruitment 2026?
Interested and Eligible candidates can apply for this drive online by using the link below.
Apply: Click Here