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Tier-1 brand, popular Data Engineer role, and metro location increase qualified applicant density.
Requires banking risk-data and financial services experience, limiting cross-industry transferability.
Mandatory 8+ years and specific Big Data, Spark, Snowflake/Databricks skills enforce strict filtering.
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Define and manage target data architecture for risk information aligned with Citi Data Standards.
Develop and optimize large-scale data pipelines with a focus on Big Data technologies such as Spark, NoSQL (HBase), and data integration for risk management.
Prepare and present data quality analysis, metrics reporting, and project status updates to senior management and stakeholders.
8+ years of data engineering experience, specifically in Big Data ecosystem with Spark as primary skill.
Experience in Banking or Financial Services domain, specifically risk management data structures and architecture.
Proficiency in Python, Spark (Java/Scala/SQL), and strong knowledge of NoSQL databases, especially HBase.
Bachelor’s or University degree or equivalent experience.
Experienced in medium to large enterprise projects within financial services focusing on data engineering and risk data management.
Demonstrated ability to influence and present to senior management with strong communication skills.
Capable of integrating cross-functional inputs to develop and implement data solutions, with project management and coaching experience.