QUALIFICATIONS:

• 10+ years of relevant experience in Data Engineering and/or Application Development
• Experience leading and mentoring a team of data engineers, fostering career growth and technical excellence.
• Ability to develop team strategy, set priorities, and drive execution in alignment with business objectives.
• Strong project management skills, ensuring high-quality deliverables on schedule.
• Skilled in stakeholder management, working closely with business leaders to align data engineering initiatives with organizational goals.
• Proven expertise in designing and optimizing scalable data pipelines using Java, Apache Spark, and Big Data technologies.
• Strong background in distributed computing, risk modeling, pricing, and regulatory compliance within the financial sector.
• Experience leading teams in batch processing frameworks for Market Risk Analytics.
• Deep knowledge of Apache Spark performance tuning, including partitioning, caching, and memory management.
• Strong understanding of data storage, retrieval optimization, and distributed computing solutions.
• Hands-on experience with CI/CD pipelines, version control (Git, Jenkins), and automated testing strategies.
• Expertise in application development methodologies, software engineering best practices, and system architecture.
• Strategic thinker with strong problem-solving and analytical abilities.
• Excellent communication skills, capable of translating complex technical concepts for non-technical stakeholders.
• Ability to thrive in a fast-paced, collaborative environment while balancing multiple priorities.

EDUCATION:

Bachelor’s degree/University degree in Computer Science, Data Engineering, or a related field
Master’s degree preferred
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OVERVIEW OF THE ROLE:

The Data Engineer Group Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to drive applications systems analysis and programming activities.

RESPONSIBILITIES:

• Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
• Provide strategic influence and exercise control over resources, budget management and planning while monitoring end results
• Utilize in-depth knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues
• Ensure essential procedures are followed and contribute to defining standards
• Integrate in-depth knowledge of applications development with overall technology function to achieve established goals
• Provide evaluative judgement based on analysis of facts in complicated, unique, and dynamic situations including drawing from internal and external sources
• Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary
• 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
• Develop and optimize scalable Java Spark-based data pipelines for processing and analyzing large scale financial data.
• Design and implement distributed computing solutions for risk modeling, pricing and regulatory compliance.
• Ensure efficient data storage and retrieval using Big Data.
• Implement best practices for spark performance tuning including partition, caching and memory management.
• Design and implement distributed computing solutions for risk modeling and regulatory compliance.
• Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins).
• Work on batch processing frameworks for Market risk analytics.