
Building Scalable Cloud Solutions
1 day ago
This position requires expertise in designing and implementing scalable data pipelines using Microsoft Azure Data Factory, SQL, and related Azure technologies.
A key responsibility is to develop and maintain end-to-end data integration solutions that ensure robust, secure, and compliant data handling practices across multiple systems.
The ideal candidate will have a strong understanding of ETL development, data integration, and data modelling, as well as proficiency in SQL and experience with data warehousing practices.
Additionally, the successful candidate will be able to engage directly with business analysts, developers, and infrastructure teams to translate requirements into actionable integration designs.
- Main Responsibilities:
- Design and implement data integration solutions using Azure Data Factory and SQL.
- Develop and maintain ETL pipelines between legacy systems and modern cloud-based infrastructure.
- Optimise data models for performance, consistency, and scalability.
- Troubleshoot integration issues and proactively address root causes.
The role requires strong problem-solving skills, excellent communication abilities, and stakeholder engagement capabilities. The ability to work autonomously and contribute proactively in fast-paced delivery settings is also essential.
This opportunity offers a chance to build effective working relationships within cross-functional teams and stay abreast of evolving Azure technologies and data engineering best practices.
Requirements:
- Proven experience with Microsoft Azure Data Factory in production environments.
- Strong understanding of ETL development, data integration, and data modelling.
- Proficiency in SQL and experience with data warehousing practices.
- Familiarity with data governance, security, and compliance standards.
Desirable Criteria:
- Experience with additional Azure tools (e.g., Azure SQL Database).
- Formal qualifications in Computer Science, IT, or a related discipline.
- Industry certifications, such as Microsoft Azure Data Engineer Associate.
Working Arrangements:
A hybrid model based in Canberra, ACT, with onsite presence required at client premises. Remote work flexibility may be considered depending on operational needs and onboarding progress.
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