Data Engineer
Qode•Texas, TX
•Hybrid
About The Position
We are seeking a Data Engineer to join our Wealth Management team. This role involves developing data-related solutions and software, managing integration tools, databases, warehouses, and analytical systems. You will be responsible for designing, building, and deploying data extraction, transformation, and loading processes and pipelines, as well as developing data storage models. The position also includes providing operational support, incident management, and documentation, along with coaching junior personnel.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or other relevant field
- 5+ years' experience developing data-related solutions and software
- 5+ years of experience working with relational databases and applying it in various applications, including within the Microsoft Azure platform
- 2+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud technologies
- 2+ years of experience designing and development on-premises and cloud-based (Azure) infrastructure and platform components
- 2+ years of hands-on development and deployment experience with Azure cloud using 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 Python, SQL, Scala, or similar
- Advanced knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, or DevOps software
Responsibilities
- 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
- 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 and dimensional data models on various 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
Benefits
- Bonus
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
