Data engineer, Citi

Citi

Location:
India, Chennai

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The Engineering Analyst 2 is responsible for engineering activities such as designing, developing, and maintaining hardware, software, and network infrastructure. The objective is to ensure quality standards in existing and planned frameworks while contributing to incremental improvements.

Job Responsibility:

Perform system and application monitoring, capacity planning and systems tests to ensure products meet performance requirements
Evaluate technologies, develop prototypes, contribute to design issues, and implement solutions
Work with various internal and external teams to identify and resolve problems
Consult with end users and clients to identify and correct systems problems or propose solutions
Assist in the development of software and systems tools used by integration teams to create end user packages
Provide support for operating systems and in-house applications, including third party applications, as needed
Perform coding, analysis, testing or other appropriate functions in order to identify problems and propose solutions
Adhere to Citi technology standards, audit requirements and corporate compliance issues and requirements
Apply knowledge of engineering procedures and concepts and basic knowledge of other technical areas to day to day activities
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Requirements:

2-4 years of relevant experience in an Engineering role
Experience working in Financial Services or a large complex and/or global environment
Project Management experience
Consistently demonstrates clear and concise written and verbal communication
Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
Demonstrated analytic/diagnostic skills
Ability to work in a matrix environment and partner with virtual teams
Ability to work independently, multi-task, 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
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.
Snowflake experience
Experience in Data lineage identification, DQ rules implementation
Risk and Finance Regulatory reports exposure

What we offer:

Equal opportunity employer
Reasonable accommodation for persons with disabilities
Global benefits offering support for well-being, growth, and work-life balance

Additional Information:

Job Posted:
September 11, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data engineer