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Job Overview

Senior Data Engineer - C12 AVP

The Applications Development Senior Programmer Analyst is a senior-level position responsible for leading the design, development, and implementation of cutting-edge data solutions in coordination with various technology and business teams. The overall objective of this role is to build and maintain scalable, high-performance data pipelines and platforms that are central to the firm's data strategy.

Responsibilities:

• Utilize expert knowledge of data engineering principles, big data technologies, and software development best practices to design and implement robust data solutions.
• Collaborate with business stakeholders, data scientists, and other technology teams to understand data requirements and deliver effective solutions.
• Apply deep expertise in programming languages like Python and Java for building high-performance data processing applications.
• Ensure data solutions are secure, scalable, and adhere to the firm's security and architectural standards.
• Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning.
• Lead the analysis of complex data-related issues, identify root causes, and implement sustainable solutions.
• Operate with a high degree of autonomy and independence, exercising sound judgment and decision-making.
• Act as a Subject Matter Expert (SME) in big data technologies for senior stakeholders and other team members.
• 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.

Qualifications:

• 7-10 years of relevant experience in Data Engineering or a similar role, preferably within the Financial Services industry.
• Senior-level experience in an Applications Development or Data Engineering role.
• Consistently demonstrates clear and concise written and verbal communication.
• Demonstrated problem-solving and decision-making skills.
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements.

Education:

• Bachelor's degree/University degree or equivalent experience.

Skillset:

• Hands-on expertise in Java (8+), Spring Boot, Python, and PySpark for building high-performance data applications.
• Extensive experience with the BigData ecosystem, including Apache Spark for large-scale data processing.
• Solid understanding of Data Warehouse concepts, design principles, and best practices.
• Strong proficiency with both relational SQL databases and NoSQL databases (e.g., MongoDB, Couchbase).
• Proven experience with event-driven architectures and messaging systems, particularly Apache Kafka.
• Experience with in-memory Caching technologies such as Redis or Couchbase to improve application performance.
• Good knowledge of RESTful/GraphQL architecture, security, and containerization (Docker/Kubernetes).
• Experience working closely with other technology teams to define and deliver integrated solutions.
• A track record of defining and evolving architectural standards and promoting adherence to these standards.