Data Engineering Sr Analyst, Citi

Citi

Location:
India, Chennai

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The Assistant Vice President (Data Engineer Sr Analyst) of Data Engineering/Development for Global Wealth Data will lead and manage a team of data engineers responsible for building and maintaining the data infrastructure and pipelines that support global wealth management operations. This role requires a strategic thinker with a deep understanding of data engineering principles, financial markets, wealth management data, and a proven track record of leading successful teams in a complex, global environment. This leader will be passionate about leveraging data to drive business value and enhance investment strategies.

Job Responsibility:

Deep understanding of retail banking products and functions (Deposits, Savings and Checking, Money market funds, Certificate of Deposits) Payments, Fund Transfers etc
Deep understanding of Card products, associated processes and life cycle
Understanding of Private banking and wealth management
Experience in Hadoop technologies, Data warehousing technologies
Comfortable in SQL
Excellent written and verbal communication skills, with the ability to present complex financial information clearly and concisely to both technical and non-technical audiences
Ability to work effectively both independently and as part of a team
Strong collaboration and relationship-building skills are crucial for success in this role
A self-starter who takes initiative and is driven to achieve results
Possesses a strong analytical mindset and meticulous attention to detail to ensure accuracy and completeness in all tasks
Able to adapt quickly to changing priorities and work effectively in a dynamic environment

Requirements:

Deep understanding of retail banking products and functions (Deposits, Savings and Checking, Money market funds, Certificate of Deposits) Payments, Fund Transfers etc)
Deep understanding of Card products, associated processes and life cycle
Understanding of Private banking and wealth management
Experience in Hadoop technologies, Data warehousing technologies
Comfortable in SQL
Excellent written and verbal communication skills, with the ability to present complex financial information clearly and concisely to both technical and non-technical audiences
Ability to work effectively both independently and as part of a team
Strong collaboration and relationship-building skills are crucial for success in this role
A self-starter who takes initiative and is driven to achieve results
Possesses a strong analytical mindset and meticulous attention to detail to ensure accuracy and completeness in all tasks
Able to adapt quickly to changing priorities and work effectively in a dynamic environment
8-10 years of relevant experience in an Engineering role
Experience working in Financial Services or a large complex and/or global environment
Experienced in data integration (ETL/ELT) and building scalable and maintainable data pipeline supporting a variety of integration patterns (batch, replication, event streaming)
Strong knowledge on NoSQL DB - HBase
Should have basic knowledge on Bigdata Cluster and operations
Experienced in working on medium to large enterprise projects, preferably in financial services
Ability to work in a matrix environment and partner with virtual teams
Ability to work independently, prioritize, and take ownership of various parts of a project or initiative
Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
Proven track record of operational process change and improvement
Bachelor’s degree/University degree or equivalent experience

Nice to have:

Snowflake experience
Experience in Data lineage identification, DQ rules implementation
Risk and Finance Regulatory reports exposure

What we offer:

Equal opportunity employer
Accessibility accommodations

Additional Information:

Job Posted:
September 11, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Engineering Sr Analyst