Senior Data Engineer

Sumitomo Mitsui Banking CorporationCharlotte, NC
154d$142,000 - $196,000Hybrid

About The Position

The Cloud Data Engineer is part of the Data Management’s Design & Development group within the Americas Division Tech and is responsible for building technical architecture for our Azure platform and support the on-prem to cloud migration initiative and cloud consolidation strategy. Role is located in Charlotte, North Caroline with a Hybrid presence in office. Role ObjectivesThe 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 of the interface processes development by the Design & Development team. Reports to the ETL Team Leader.

Requirements

  • Extensive experience on Cloud solutions, specifically in Azure
  • Experience with Azure cloud services, Azure Data Factory, Gen 2, Azure Databases, Functions, Databricks, etc
  • Strong knowledge of Python, Java or similar high-level server-side languages
  • Advanced working SQL knowledge on relational databases, preferably on MS SQL Server and databases on Azure cloud
  • Experience designing and architecting distributed systems, containerization, Web API’s and gateway management.
  • Experience with the DevOps lifecycle (git, Jenkins, etc.)
  • Experience with Jira/Confluence
  • Experience with REST web services and microservice architecture
  • Good understanding of ETL/ELT
  • Databricks Cluster configuration, Unity catalog repository configuration.
  • 10+ years of software development experience in enterprise applications, preferably in the financial services industry and on data-heavy systems.

Nice To Haves

  • Bachelor’s or Master’s degree in computer science or information systems preferred.

Responsibilities

  • Designing, developing & deploying cloud data solutions for risk, regulatory, finance & compliance projects and be at the forefront of on-prem to cloud migration initiative.
  • Indirect leadership and mentorship of junior team members.
  • Work with business teams, product managers, and other stakeholders to understand business requirements, needs, or process gaps that would be addressed via proposed applications.
  • Engage with IT systems architects, database administrators, and cyber security team to meet the back-end functionality demands of the application.
  • Liaise with other technology and development teams as needed to coordinate on the integration of applications with the larger company software ecosystem.
  • Participate in periodic development meetings to align development priorities and objectives, assign tasks, and share experiences and challenges with applications under development
  • 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 enterprise grade platforms that enable data-driven solutions.
  • Provide technical guidance on technology implementation and architectural changes.
  • 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 and insightful 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.
  • Review and provide feedback on core code changes and support production deployment
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