Senior Data Engineer/ Informatica

4 weeks ago


Auckland City, New Zealand Empired Full time

As a Senior Data Engineer with at least 4-5 years’ experience in data warehousing, you’ll be working both independently and alongside other team members in a small development squad.

You will be technically proficient with a strong background in data engineering and have demonstrable experience on Microsoft data technologies. This will include a modern approach to building cloud-based data lakes, data warehouses and data marts in Azure.

You will have worked as part of a development team and have a good working knowledge of agile software delivery concepts including product backlogs, sprints/iterations, Kanban boards and delivering a mínimal viable product (MVP).
**Required technical skills**:

- Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS)
- Strong SQL development skills
- Good working knowledge of core database concepts and SQL Server
- Microsoft Azure cloud data platform
- Azure SQL
- Azure DW / Synapse Analytics
- Azure Databricks to implement Azure Delta Lake
- Azure Data Lake Storage
- Azure DevOps (or DevSecOps)
- Infrastructure as Code
- Strong knowledge of data warehousing techniques and data modelling skills using one of the well-known methodologies such as:

- Kimball
- Inmon
- Data Vault
- Strong ETL and data pipeline development skills
- Azure Data Factory
- Azure Functions using either C# or Python
- Knowledge of Power BI including DAX and Power Query
- Data Ops
- Infrastructure as code (IAC)
- Monitoring and alerting
- Testing and test automation

**Required non-technical skills**:

- Design and architecture documentation
- Can produce and contribute to technical design documentation
- Can follow design specifications
- Can produce as built and other development documentation, including how-to guides, wikis and technical specifications
- Familiar with online documentation and wiki tools, such as Confluence, MS Teams, etc

**Advantageous**:

- Microsoft Azure cloud platform
- Knowledge of other Azure cloud concepts such as infrastructure and networking
- Working knowledge of other Synapse Analytics components, like
- Spark Pools
- Delta Lake
- Serverless SQL Pools
- Synapse Pipelines
- Continuous integration / continuous deployment (CI/CD) experience
- Data security and security models
- Familiar with agile delivery tools such as Azure DevOps for backlog and task management (or an equivalent platform such as JIRA)

**Interested?



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