Senior Data Analyst/Modeller for Azure Cloud
1 month ago
We are seeking a seasoned Data Analyst/Modeller with extensive experience in designing and implementing data transformation processes across multiple platforms, particularly in Microsoft Azure.
This is a unique opportunity to leverage your expertise in ETL/ELT processes, data exploration, and analysis to drive business growth and innovation within our organisation.
Key Responsibilities- Design and develop complex ETL/ELT processes for data movement and transformation using various technologies such as SQL Server Integration Services, Data Factory, and Databricks.
- Analyse and explore structured and non-structured data to inform data transformation processes and improve data quality.
- Collaborate with cross-functional teams to design and implement data architectures, including data warehouses, lakehouses, and data meshes.
- Maintain and optimise existing data transformation processes to ensure high-quality data delivery.
- Minimum 5 years of experience in data analysis and modelling, with a strong focus on ETL/ELT processes and data integration.
- Expertise in Microsoft Azure cloud technology, including Azure Stack, Storage, and Analytics services.
- Strong understanding of data architecture, data warehousing, and data lake concepts.
- Excellent analytical and problem-solving skills, with the ability to communicate complex technical information to non-technical stakeholders.
- Experience working with agile methodologies and version control systems such as Git.
- A competitive salary package, estimated at $120,000 - $180,000 AUD per annum, depending on experience.
- The opportunity to work on exciting projects that drive business growth and innovation.
- A collaborative and dynamic work environment with a team of experienced professionals.
- Ongoing training and development opportunities to enhance your skills and knowledge.
We are Whizdom Recruitment, a leading recruitment agency specialising in IT and data science roles. We pride ourselves on building long-term relationships with our clients and candidates, and we are committed to finding the best talent for each role.
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