Data Engineer

• Maintain and enhance the Azure Data warehouse.
• Develop and maintain ETL processes, data mappings & transformations.
• Ensure data integrity, quality, privacy, and security, in line with client and regulatory requirements.
• Optimise data solutions for performance and scalability.
• Adhere to Interpath’s software engineering best practices.
• Act as a point of contact for business data developing subject matter expertise

Essential Experience Required

• 4+  years’ experience in a data engineering role.
• Hands on experience with Databricks notebooks and Azure Synapse pipelines.
• Strong SQL experience (including views and stored procedures).
• Experience of working with APIs to integrate data flows between disparate cloud systems.
• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.
• The aptitude to quickly understand information, business models and requirements.
  • Strong written and verbal communication skills, with the ability to establish working relationships.