Data Engineer

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan.

SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization’s extensive global network.

The Group’s operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

The Data Engineer designs, develops, and collaborates with a team of Azure Databricks and Actimize specialists, partnering with external vendors to deliver compliance and surveillance solutions. This role is critical to maintaining and enhancing the bank’s fraud detection and prevention platform, ensuring adherence to risk management, legal, and regulatory obligations.

You will combine deep technical expertise in data engineering with strong development skills to customize and optimize the Databricks platform. You will build scalable data pipelines, implement workflows, write custom rules and logic, and troubleshoot complex issues. You will work closely with business units and technical teams to deliver enhancements, perform upgrades, and provide on-call production support in a highly transactional environment.

• Design and develop code and configurations for Azure Databricks and Actimize applications, ensuring alignment with business and technical requirements.
• Build and optimize data integration pipelines for ingestion, transformation, and storage using Databricks and Azure Data Lake.
• Conduct detailed analysis of requirements, incidents, and process flows; prepare clear technical documentation for development and implementation.
• Troubleshoot and resolve issues across environments, performing root cause analysis to improve reliability and prevent recurrence.
• Deliver timely, high-quality solutions and production support to maintain compliance and customer satisfaction.
• Communicate effectively with business users, support teams, vendors, and stakeholders to ensure transparency throughout the project lifecycle.
• Manage multiple projects and tasks simultaneously, balancing priorities in a fast-paced environment.
• Develop and execute unit and integration test cases to validate changes and releases.
• Coordinate and perform system upgrades in collaboration with end users and technical teams.
• Act as an escalation point for complex production issues, ensuring minimal business impact.
• Participate in system implementations and go-lives, including occasional evening or weekend support for deployments.
• Collaborate with cross-functional teams to resolve high-priority incidents and contribute to post-implementation reviews and continuous improvement efforts.

• 5+ years of experience implementing enterprise technologies or vendor platforms.
• Bachelor’s degree in Computer Science or related field preferred.
• Core Technologies:
  Azure Databricks, Azure Data Lake, Python, Power BI, Power Apps, SQL Server, Oracle/PL-SQL, SQL stored procedures, Actimize (preferred)
• Proven experience in IT development, system design, integration, and data analysis across complex environments.
• Strong understanding of relational and SQL database platforms, with proficiency in Oracle or similar technologies.
• Familiarity with surveillance…