Big Data Support Engineer

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

The Big Data Support Engineer accomplishes results through the management of professional team(s) and /OR Applications . Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Recognized technical authority for an area within the business. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities

• System Health & Support: Partner with various technology teams to ensure our big data applications are integrated correctly, identify issues, and implement solutions. You'll provide expert support for production systems.
• Problem Resolution: Analyze complex technical problems, troubleshoot incidents, and lead efforts to resolve them quickly to minimize impact on the business.
• System Enhancement & Design: Help define system requirements for new features and improvements, ensuring they align with our business goals and industry standards.
• Risk & Compliance: Identify potential risks, vulnerabilities, and security issues within our data platforms, then propose and implement solutions to mitigate them, always keeping audit and compliance standards in mind.
• Monitoring & Optimization: Use advanced monitoring tools to track the performance and health of our big data clusters. You'll identify bottlenecks, optimize resource usage, and ensure system stability.
• Change Management: Oversee technical changes to our systems, ensuring they are thoroughly reviewed, approved, and validated to prevent disruptions.
• Resiliency & Recovery: Work on plans to ensure our systems can quickly recover from disruptions and participate in disaster recovery tests.
• Collaboration & Leadership: Work closely with product owners, business analysts, and other teams. You may also advise or mentor junior team members, applying strong communication and influencing skills.

What We're Looking For:

• Experience: 6-8 years of strong experience in IT production support or engineering development, preferably within the financial industry.
• Automation:  Strong Orientation towards simplification and automation of production services to reduce TOIL and improve production stability and improve productivity.
• Technical Foundations:
  • Solid experience with Linux operating systems (4-5 years).
  • Strong SQL skills and experience with various databases (e.g., Oracle, Hive).
  • Familiarity with job schedulers like Autosys or CONTROL-M is a plus.
• Programming & Scripting: Proficiency in scripting languages such as PowerShell, UNIX shell scripting, Python, or Java.
• Big Data Expertise (Must-Have):
  • Hands-on experience with key Hadoop ecosystem components (e.g., HDFS, Hive, Spark, Kafka).
  • Experience supporting applications on Snowflake is a definite advantage.
  • Ability to analyze and improve big data cluster performance and manage resources efficiently.
• Observability Tools: Strong understanding and practical experience with monitoring and logging tools like ELK Stack (Elasticsearch, Logstash, Kibana) and Grafana.
• Soft Skills:
  • Excellent communication, interpersonal, and relationship-building skills.
  • Strong analytical, problem-solving, and strategic thinking abilities.
  • High attention to detail, professionalism, and integrity.
  • Ability to work effectively in a fast-paced environment and manage multiple priorities.
• Education: A Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field is preferred.