About
Join SMBC's Compliance Technology team as a Data Engineer specializing in Azure and Databricks. You will architect and build secure, scalable data pipelines and a cloud-native data platform that powers real-time compliance analytics and regulatory reporting across global markets. Work collaboratively as a team player on mission-critical projects involving complex financial datasets, leveraging Azure Data Factory, Databricks, Delta Lake, and Python to transform raw data into trusted, governed insights. This is a high-impact role where a motivated self-starter owns, end-to-end data engineering initiatives, collaborates with governance teams, and influences the architecture of SMBC's next-generation compliance systems. Principal Duties & Responsibilities: Own the design and implementation of ETL workflows using Azure Data Factory and Databricks for compliance-related data ingestion and transformation. Integrate and normalize data from multiple structured and unstructured sources, ensuring adherence to strict data quality governance framework. Develop secure, auditable, and optimized pipelines for performance and reliability across sensitive financial datasets. Automate ingestion and transformation processes to enable real-time compliance analytics and reporting. Implement efficient storage formats and partitioning strategies for fast loading and retrieval. Utilize Databricks and Delta Lake for distributed processing and versioned data storage. Enforce data retention, archiving, and purging policies aligned with global regulatory requirements. Migrate legacy application logic into modern Azure Databricks/Data Lake and SQL environments. Maintain comprehensive data lineage, metadata, and audit trails using Azure Purview or custom frameworks. Collaborate with governance teams and compliance analysts to define requirements and manage access controls. Participate in Agile development cycles, sprint planning, and compliance reviews. Review code changes and support production deployments. Job Specifications: 3+ years of experience in data engineering within financial services, preferably compliance/regulatory. Advanced proficiency in SQL, Python, and Azure Databricks. Hands-on experience with Azure Data Factory, Databricks notebooks, and ADLS. Expertise in data wrangling, modeling, and analytics enablement for compliance use cases. Experience integrating Microsoft ADF and Databricks for complex ETL development. Familiarity with data governance, quality frameworks, and audit processes. Strong communication and collaboration skills. Experience with Git/GitLab and CI/CD tools such as Azure DevOps. Preferred: Certifications in Azure Data Engineering, Databricks, or Financial Compliance Technology. Preferred: Bachelor's or Master's in Computer Science, Data Engineering, or related field.
Languages
- English
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