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Strong employer brand and common data-engineer title, but seniority reduces applicant density.
Core data-engineering skills are transferable, but finance/compliance domain preference increases specificity.
Explicit 10+ years requirement and multiple mandatory big-data/cloud skills.
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Design, build, and manage scalable data infrastructures and pipelines for Compliance IT to ensure adherence to regulations and standards.
Develop, test, and maintain data architectures (databases and large-scale processing systems) aligned with business requirements, focusing on data quality, governance, and security.
Collaborate with data scientists and analysts to provide necessary data for analytics, ensuring robust, secure, and efficient systems impacting compliance and operational risk management.
Bachelor’s degree in computer science or engineering.
Minimum 10+ years of hands-on experience in data-focused application development including ETL and data engineering.
3+ years of programming experience using Scala and Python; 2+ years with public cloud technologies like AWS and DataBricks.
Experience with Big Data technologies: Hadoop, Spark, Hive, SQL, NoSQL; plus experience in CI/CD pipelines and production data pipeline monitoring.
Experienced in finance and compliance domains, with understanding of AML, data privacy, custody services, or related compliance.
Proficient in optimizing Spark jobs for performance and cost, and familiar with orchestration and DevOps tools including GitHub.
Holds relevant certifications in Databricks or cloud environments; exposure to Elasticsearch, Graph DB, and machine learning considered advantageous.