Data Engineer – Azure
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Job Description
Data Engineer at Adaptiv, a leader in data integration consulting in NZ, providing innovative cloud solutions. Collaborate on projects and enhance client data capabilities with Azure technologies.
Responsibilities:
- Deliver data solution architecture for clients (data lakes, cloud data warehouses, data enhancement via machine learning APIs)
- Be part of a team on larger scale deployment and deployments
- Lead in the development and implementations of the company’s data engineering solutions on Azure
- Undertake hands-on development for client projects
- Provide guidance and demonstrate best practices when delivering solutions
- Understand and utilise modern data platforms (cloud or on-premises)
- Create and design compelling architectural blueprints to deliver value to our clients
- Implement data engineering and machine learning solutions on the Azure technology stack
- Identify and propose development and architectural improvements to existing systems
- Participate in planning meetings as required
Requirements:
- At least 4 years of professional experience in a consulting environment on a cloud Platform with a focus on Azure
- Ideally you should at least have one valid and active Azure certification
- Hands on and experience building Data Analytics solutions on Azure (e.g. ADLS Gen2, Synapse Analytics, SQL Database, CosmosDB, Azure Data Factory, Azure Functions, Azure Logic Apps, Event Hubs, Databricks, PowerBi, Azure DevOps)
- Experience in Spark (Scala/Python/Java) and Kafka
- Experience architecting and building Data Lakes on Azure (ADLS Gen2)
- Experience building data models in a CDW (Synapse) based on Start Schemas, Wide Tables (or OBT)
- Experience working with AI/ML as a service
- Knowledge in MDM, Metadata Management, Data Quality, Data Lineage tools and more generally in Data Governance
- End to End Data Engineering and Lifecycle (including non-functional requirements and operations) management
- Regulatory and Compliance work in Data Management
- End to End Solution Design skills - Prototyping, Usability testing and data visualization literacy.
- Experience with SQL and NoSQL modern data stores.
- Knowledge in both SQL and Python
- Experienced in use of industry-leading CI/CD platforms such as Git, Azure DevOps
Benefits:
- Competitive remuneration package
- Casual Friday morning tea and early evening nibbles and drinks are on us
- You choose your weapon: either a MacBook Pro or a Windows workstation
- Your mobile subscription is on us
- A central office in the heart of Ponsonby and Grey Lynn
- If you’ve got a dog, bring it to the office!
- Access to Azure certification trainings and exams
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