Lead Data Integration Engineer Job at Citi (Pune)

Job Description

A highly experienced and technically adept Senior Integration Engineer to join our Wealth Lending platforms team. This role demands a blend of strategic thinking, technical leadership, and hands-on development expertise. The ideal candidate will not only own the data & integration strategy but also actively contribute to the design, development, and implementation of robust and scalable integration solutions

Job Responsibility

Owning overall data integration strategy, design, development, & delivery across Wealth lending platforms
Providing technical leadership to integration developers, and actively contributing to the design, development, and implementation of integration pipelines
Design & Develop integration patterns, including batch, real-time and event-based integrations with robust error handling, monitoring & replay mechanisms
Design, Build, & Manage data access integration layer, ensuring consistent data extracts & schema management
Perform & oversee source system data profiling, data discovery and data quality assessments, identifying gaps and driving remediation strategies
Define, Implement and validating complex transformation, standardization, and mapping rules for data integration
Champion and utilize AI assisted development tools and authentication frameworks to improve developer productivity, code quality, testing & documentation across the engineering team
Provide technical leadership and delivery ownership, guiding the team on architecture decisions, best practices, and ensuring high quality delivery of features and platform enhancements
Identify problems, analyze information, and make evaluative judgments to recommend and implement solutions
Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
Has the ability to operate with a limited level of direct supervision
Apply fundamental knowledge of programming languages for design specifications and active development
Appropriately assess risk when business decisions are made, demonstrating 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

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
10+ years of progressive experience in data integration, data engineering, or a similar role, with at least 4 years in a technical leadership or senior capacity
Demonstrable experience within the financial services or banking industry, specifically with wealth management or lending platforms
Extensive hands-on experience with end-to-end design, development, coding, and deployment of complex data integration solutions
Proficiency in designing, developing, and managing data access integration layers, ensuring data consistency, efficient extraction, and robust schema management
Strong background in source system data profiling, data discovery, data quality assessments, and driving remediation strategies. With knowledge of wholesale Lending domain
Skilled in defining and implementing intricate data transformation, standardization, and mapping rules
Hands-on experience with leading data integration platforms, ETL/ELT tools, message queuing systems, and API management solutions
Solid understanding and hands-on RDBMS (SQL, PL/SQL) + knowledge of NoSQL databases
Practical experience with AI-assisted development tools and modern authentication frameworks to enhance productivity, code quality, testing, and documentation
Solid understanding of fundamental programming concepts and proven experience in developing with relevant languages (e.g., Python, Java, Scala) for design specifications and implementation
Proven ability to lead, mentor, and guide integration developers on design, development, and implementation best practices for data pipelines
Expertise in designing, building, and governing diverse data integration patterns, including batch, real-time, and event-based architectures
Deep understanding of implementing robust error handling, monitoring, logging, and replay mechanisms within integration solutions
A strong commitment to ensuring high-quality deliverables through architectural guidance, best practices, and rigorous testing
Hands-on knowledge of messaging systems - IBM MQ, Kafka, Solace etc
Demonstrated ability to assess and mitigate risks in technical decisions, ensuring compliance with applicable laws, rules, and regulations within a regulated environment
Adherence to internal policies, sound ethical judgment, and transparent escalation/management of control issues
Ability to operate with a high degree of autonomy and drive initiatives from conception to delivery with limited direct supervision
Excellent communication and interpersonal skills, fostering effective collaboration with cross-functional teams and stakeholders

Nice to have

Certifications in relevant data integration technologies, cloud platforms (e.g., AWS, Azure, GCP), or data governance are a plus
Experience with hands-on design and implementations of cloud-ready applications and deployment pipelines on large-scale container platform clusters is a plus
Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Tekton, Harness, Jenkins, Code Quality, etc

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Lead Data Integration Engineer

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