Data Engineer - DataBricks
About The Position
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 influence the architecture of SMBC’s next-generation compliance systems.
Requirements
- 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.
Nice To Haves
- Certifications in Azure Data Engineering, Databricks, or Financial Compliance Technology.
- Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
