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Tier-1 brand, generalist Application Developer title, and metro location increase applicant competition.
Core ETL and SQL skills are transferable but recon/capital-markets domain knowledge raises sensitivity.
Explicit 8-12 years plus mandatory ETL, SQL, job-scheduling and banking domain skills.
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Design, build, and maintain data reconciliation infrastructure ensuring data accuracy across institutional data at Citi.
Develop and optimize ETL jobs, configure data transmission protocols (SFTP, NDM, Kafka, S3), and write Hive/Spark queries for data validation and distribution.
Provide Level 3 support by diagnosing and resolving complex data incidents, managing deliverables, and meeting regulatory commitments via JIRA ticket resolution.
8-12 years of total IT experience.
Proficiency in SQL including writing, debugging, and optimizing complex queries for data validation and aggregation.
Experience with ETL tools and data pipeline troubleshooting.
Familiarity with job scheduling tools like Autosys, PMF, or Control-M.
Experienced in complex reconciliation solutions in financial or institutional data environments.
Skilled in troubleshooting and supporting data pipelines and recon logic at an enterprise scale.
Familiar with Capital Markets domain concepts such as data flow and trade life cycle, and able to operate autonomously in a mission-critical, regulated environment.