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The Global Trading Profit & Loss (GTPL) system is a cash securities product processing system, primarily designed to calculate, post, and manage the accounting balances & journals for Equity & Fixed income cash products. It performs calculations like realized and unrealized P&L, coupon accruals, and handle various accounting events. GTPL supports hedge accounting, manages intercompany debt, processes syndicate product accounting, and ultimately generates daily journal entries for cash securities that are posted to the firm's General Ledgers and reported to other critical Citi applications. We are seeking a highly experienced Senior Ab Initio Engineer to lead our enterprise-scale data integration and transformation initiatives. The ideal candidate will have deep Ab Initio expertise to oversee and optimize our existing ETL ecosystem, while also architecting and executing a strategic migration to modern, open-source, cloud-based technologies.
Job Responsibility:
Be hands-on with coding and software design to ensure adherence to high quality standards and best practices of complex Ab Initio graphs, plans, and parallel ETL workflows
Ensure compliance with enterprise data governance, metadata standards, and regulatory requirements
Lead and mentor development teams in both Ab Initio and modern data engineering technologies
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Champion automation, CI/CD integration, and infrastructure-as-code for data pipelines
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
Requirements:
Relevant experience designing and developing in Ab Initio (GDE, Co>Op, Plans, DML, XFR, partitioning, continuous flows, testing framework, Graph Unit Tests)
Proven expertise in Apache Spark, Kafka, Hadoop/HDFS, Hive/Impala, and distributed processing
Knowledge of cloud platforms (AWS/GCP/Azure)
End-to-end experience in planning and executing large-scale modernization or platform migrations
Demonstrated experience in leading multi-disciplinary data engineering teams
Excellent communication, stakeholder engagement, and executive presentation skills
Strategic thinker with ability to balance short-term delivery and long-term modernization goal
Familiarity with DevOps, CI/CD for data pipelines, and Infrastructure-as-Code
What we offer:
Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources
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