Data Engineer

Sumitomo Mitsui Banking Corporation•Charlotte, NC

1d•Hybrid

About The Position

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. SUMMARYThe Azure Cloud Engineer strategizes, designs, develops and work with a team of dynamic and passionate data engineers to deliver automated cloud infrastructure and DevOps solutions. The incumbent will play a key role in supporting the growth and scale of our Azure cloud-based technology infrastructure. This role is also responsible for complex interface process development, troubleshooting issues, supporting weekend maintenance and production support

Requirements

IT professional experience in Azure Cloud with over 5+ years of Azure Development
Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
Excellent interpersonal and communication skills
Experience with software configuration management tools such as Git/Gitlab
Experience with continuous integration and deployment (CI/CD) tools such as Azure DevOps

Responsibilities

Develop notebooks using Python, SQL, R language in Databricks
Databricks Cluster configuration, repository configuration.
Experience with AI development
Seamless integration with On-prem and cloud databases and Power BI reports
Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform.
Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying platforms that enable data- driven solutions.
Provide technical guidance on technology implementation and architectural changes.
Sr. Azure Cloud Engineer coordinating with platform, APIM, Azure DevOps, and Support.
Analyze and design technical solutions on Azure to address business needs.
Develop, test, and modify software to improve efficiency of data platforms and applications.
Ability to own projects from end to end, working with business stakeholders, IT teams, data stewards, and 3rd party companies to ensure accurate outcomes.
Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
Enable streaming data use-cases and standard design patterns in a big data environment.
Collaborating with data scientists to integrate algorithms and models into automated processes.
Review and provide feedback on core code changes and support production deployment.