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Specialized senior big-data/cloud role at an established financial firm reduces applicant density.
Strong domain and tooling specificity (big-data, Databricks, finance/compliance) reduces cross-industry transferability.
Explicit 10+ years, mandatory big-data/cloud skills and Databricks/cloud certifications make filters strict.
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Design, build, test, and maintain scalable data architectures and large-scale processing systems aligned with business requirements.
Ensure data quality, governance, and implement data security measures to support compliance and operational efficiency.
Collaborate with data scientists and analysts to provide reliable and accessible data for business analysis related to compliance.
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 hands-on programming experience with Scala and Python.
Minimum 2 years experience with public cloud technologies such as AWS and Databricks.
Experienced in working at the intersection of big data technologies (Hadoop, Spark, Hive, SQL, NoSQL) and cloud platforms to optimize data pipelines for performance and cost.
Familiar with compliance or finance domain knowledge, specifically custody services, data privacy, AML, and regulatory environment.
Practical expertise in CI/CD pipelines, orchestration tools, and troubleshooting production data pipelines in a regulated compliance IT context.