Senior Data Engineer

About the role

It's an exciting time to be a member of the Fisher Investments Technology Department. We're investing in the future of our firm's technology and are building our team to achieve global growth. We are looking for a Senior Data Engineer to support our Enterprise Data Management team. If you are looking for an opportunity to make a difference as we develop scalable and strategic solutions to support our global growth, we want to hear from you! As the Senior Data Engineer, you will report to the Business Intelligence Team Lead and act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts, or other data repositories. You will build systems to create and improve data sets and data systems for operating applications, performing analysis, or identifying business or technology issues. You will be responsible for operational support and incident/problem management, from creating logging instrumentation to analysis and process improvements. You will also coordinate with other IT teams to configure and implement security, monitoring, tooling, and related capabilities as they apply to their assigned systems. The Day-to-Day: Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams. Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related software. Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files. Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a variety platforms to meet business requirements. Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams. Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered. Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs. Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth. Your Qualifications: 15+ years' experience developing data-related solutions and software 10+ years of experience working with relational databases and applying it in various applications, including within the Microsoft Azure platform 4+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud technologies 4+ years of experience designing and development on-premises and cloud-based (Azure) infrastructure and platform components 4+ years of hands-on development and deployment experience with Azure cloud using .NET, T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases Advanced knowledge of multiple programming languages, such as C#, Java, Python, SQL, Scala, or similar Advanced knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, or DevOps software Experience with Power BI is a plus Bachelor's degree in Computer Science, Information Technology, or other relevant field

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