The Sr. Azure Data Engineer will occupy a key position to design and build this company's next generation data platforms, supporting their analytics ecosystem. Collaborating with forward thinking IT professionals, data scientists and clients, you will work with powerful data and deliver information through innovative technology. This position will be responsible for solving complex problems and building advanced systems which democratize big data analytics and machine learning across the enterprise.
- Drive the development of cloud-based data warehouses and models, supporting big data and business intelligence platforms.
- Build foundational data modeling pipelines and processes.
- Implement features that enable analytics for a broad spectrum of users.
- Lead initiatives from design through implementation and delivery.
- Develop highly scalable, secure, and flexible enterprise data solutions.
- Proactively engage in continuous improvement of processes and capabilities to take advantage of new technology offerings.
- Write documentation in clear language that can be understood by non-technical team members.
- Data engineering experience.
- Experience with Azure at the enterprise level for data and analytics.
- Expert skills developing in Databricks.
- Extensive development experience using python, R or Scala.
- Strong experience in SQL, including query tuning.
- Strong understanding of algorithms and data structures, and when to apply them.
- Demonstrated understanding of Business Intelligence and Report Modeling, with preference for PowerBI experience.
- Experience with the Azure ecosystem, including Azure Databricks, Synapse, ADLS and Security services.
- Extraordinary attention to detail and drive for superior product quality.
- Excellent written and verbal communication skills, and the ability to communicate effectively with a wide range of audiences.
Please contact Ellie on email@example.com to discuss further