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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
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 offer:
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