AddressPlease respond to the job if you have a valid work visa and residing in Australia.
- Contract start ASAP to 30 June 2023, Possible extensions.
- Eligible to work in Australia, Brisbane, Hybrid (3 days on-site, 2 days off-site) role.
Send your responses to jobs@softtestpays.com
Overview
About the Role
This role is seeking a SQL developer as part of our Microsoft Azure data warehouse team. The lead developer will work within an Azure DEVOPS environment, actively developing stories as prescribed from the product backlog to improve our customer experience. Technical requirements are listed below:
Position Description
SQL Developer
Microsoft Platform knowledge on Azure, Power BI, SQL Server, the Microsoft BI and hybrid/cloud stack and offerings
Business Intelligence design and implementation using Microsoft Business Intelligence stack (SSIS, SSAS and SSRS)
Ideally SQL Server experience
PowerBI using tabular models, Power Pivot, Power BI Desktop & Power query
SSAS tabular data model design, optimisation and query using DAX
SSIS design and development of ETL workflows, SSIS automation
Azure Databricks and Azure Data Factory experience exceptionally advantageous
Client engagement including prototype reviews and requirements gathering
Data warehouse knowledge
Administrative duties 5%
Administrative duties as needed.
What you will bring to the role:
Demonstrated experience working on Business Intelligence\Data Warehouse platforms and solutions
Ability to work in complex organisational environments (i.e. matrix) and with remote teams
Ability to plan work to meet deadlines
A keen focus on minimising the impacts that a technology project can have on the end user experience
Customer focus and strong understanding of business context
Be a self-starter and have an ownership mentality
Highly Desirable Skills
Reporting and Business Intelligence - A primary consumer of data assets in the enterprise
Data Governance and Quality - Building integrity and trust in data
Information Security - Confidentiality, integrity and availability of data
DataOps - Automation practices and tools which accelerate delivery of data assets
Non-warehouse Data Architectures - Data lakes, data virtualization
