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Strong Tier-1 brand and senior title balanced by specialized Big Data skillset and banking experience.
Role demands banking risk-data and Big Data expertise, limiting cross-industry portability.
Explicit 8+ years, mandatory Big Data tech stack and banking/risk experience enforce strict filters.
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Define and manage target data architecture for risk information aligning with Citi Data Standards.
Develop, optimize, and maintain scalable data engineering pipelines primarily on Big Data ecosystem (Spark, NoSQL), including data consistency and quality checks.
Analyze complex data issues, prepare presentations for senior management, and influence cross-functional teams related to risk data management.
8+ years of experience in Banking or Financial Services with data engineering focus.
Proficient in Big Data technologies, especially Spark, Python, Spark Java, Scala, SQL, and NoSQL databases (HBase).
Experience in data integration (ETL/ELT), scalable pipeline design, and knowledge of Big Data cluster operations.
Bachelor’s degree or equivalent experience.
Experienced in financial services risk management data structures and architecture, with demonstrated senior management interfacing skills.
Strong project management skills with ability to lead cross-team alignment and support system migration programs including legacy-to-cloud transitions.
Capable of root cause analysis for data issues and driving continuous improvement in data processes and workflows.