VP, 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. Role Description Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform. Designing and implementing highly performant data ingestion pipelines from multiple sources using Azure Databricks. Direct experience of building data pipelines using Azure Data Factory. Developing scalable and reusable frameworks for ingesting datasets. Design and develop ETL, data integration and data migration solutions. Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise-grade platforms that enable data-driven solutions. Integrate end-to-end data pipelines to take data from source systems to target data repositories, ensuring the quality and consistency of data is maintained at all times. Work with event-based / streaming technologies to ingest and process data. Collaborate with other members of the project team to support delivery of additional components such as API interfaces and search. Evaluate the performance and applicability of multiple tools against customer requirements. Qualifications and Skills Experience with ADLS, Azure Databricks, Azure SQL Database and Data Warehouse. Strong working experience in implementation of Azure cloud components using Azure Data Factory, Azure Data Analytics, Azure Data Lake, Azure Data Catalogue and Logic Apps. Knowledge of Azure Storage services (ADLS, Storage Accounts). Expertise in designing and deploying data applications on Azure cloud solutions. Hands‑on experience in performance tuning and optimizing code running in Databricks environment. Good understanding of SQL, T‑SQL and/or PL/SQL. Experience working in Agile projects with knowledge of Jira. Good to have handled data ingestion projects in Azure environment. Demonstrated analytical and problem‑solving skills, particularly those that apply to a big data environment. Experience with Python scripting; Spark SQL and PySpark is a plus. SMBC’s employees participate in a hybrid workforce model that provides employees with an opportunity to work from home, as well as from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during the interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA‑registered roles for which in‑office attendance for the entire workweek is required. SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at View email address on click.appcast.io. #J-18808-Ljbffr Sumitomo Group