Big Data Applications Support Analyst - Assistant Vice President

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.

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.

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.

• 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

• 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

• 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

• 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 (Service Now, JIRA)
• Exposure to cloud platforms (AWS, Azure, or Google Cloud)
• Understanding of data quality processes and reconciliation
• Knowledge of Dev Ops practices, CI/CD, and version control (Git)

• 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,…