Big Data Applications Support - Assistant Vice President

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter.

Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

What We do / The Team:

We're looking for a talented Support Engineer to join our global team supporting a large-scale data platform that processes critical business information across our organization.

The Platform:

You'll be supporting a modern Big Data platform built on industry-standard technologies including Hadoop, Hive, Impala, Spark, Kafka, and other open-source tools. This platform handles massive volumes of data daily, supporting analytics, reporting, and business-critical operations.

The Team:

You'll work as part of a global support team with colleagues in Singapore, India, UK, and Canada. We operate a follow-the-sun model, ensuring 24/7 platform availability. The team collaborates closely with developers, infrastructure teams, and business users to keep systems running smoothly and continuously improve our operations.

Why Join Us:

• Work with cutting-edge Big Data technologies at enterprise scale
• Collaborate with talented engineers across the globe
• Make a real impact on business operations
• Focus on automation and reducing manual work
• Continuous learning and career development opportunities

Role Overview/What will you do:

• Monitor the platform - Perform daily health checks, watch for issues, and hand over to teams in other regions to maintain 24/7 coverage
• Troubleshoot problems - Investigate and resolve issues with Hadoop, Spark, databases, and data processing jobs, working with other teams when needed
• Manage scheduled jobs - Monitor thousands of automated jobs running daily, investigate failures, and coordinate fixes with development teams
• Ensure data quality - Perform checks and reconciliations to make sure data is accurate and complete for business reporting
• Improve operations - Work on projects to automate repetitive tasks, reduce manual work, and make the platform more reliable
• Communicate effectively - Act as the bridge between technical teams and business users, explaining issues in clear, simple terms
• Handle incidents - Lead problem resolution during critical issues, coordinating with multiple teams while meeting service commitments
• Share knowledge - Help newer team members learn and grow, sharing your expertise on technical challenges

Key Skills and Experience required:

• Support experience working in application or platform support roles, keeping production systems running smoothly
• Linux skills - Comfortable working on the command line, troubleshooting system issues, and understanding how Linux servers work
• Database & SQL - Good experience writing SQL queries and working with databases like Oracle, PostgreSQL, or MySQL
• Job scheduling - Experience with tools like Autosys, Control-M, or similar schedulers that run automated jobs
• Scripting ability - Can write scripts in Python, Perl, or Shell to automate tasks and solve problems
• Problem-solving mindset - Strong analytical thinking and ability to explain technical issues to non-technical people
• Education - Degree in Computer Science, IT, Engineering, or equivalent practical experience

Any Beneficial / Nice to have skills and experience:

• Experience specifically with Cloudera Hadoop distributions
• Big Data knowledge - Hands-on experience with Hadoop, Hive, Spark, or similar distributed data platforms (or strong willingness to learn)
• Familiarity with monitoring tools like Splunk, Grafana, or enterprise monitoring platforms
• Knowledge of Kafka or other real-time data streaming technologies
• Strong Unix/Linux scripting skills for automation
• Experience with incident management processes and ticketing systems (ServiceNow, JIRA)
• Exposure to cloud platforms (AWS, Azure, or Google Cloud)
• Understanding of data quality processes and reconciliation
• Knowledge of DevOps practices, CI/CD, and version control (Git)

What we’ll provide you:

By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.