Job Description
Your new role
- Design, build, and maintain ETL/ELT pipelines to ingest data from various sources.
- Develop and manage data lakes and data warehouses for optimal performance and security
- Automate data ingestion and transformation for real-time and batch flows
- Implement data cleansing, validation, and reconciliation processes
- Establish monitoring and alerting systems for data quality issues
- Collaborate with Data Analysts and Architects to optimise data models and ensure governance compliance
- Provide technical support and maintain documentation for data systems
- Communicate technical concepts to stakeholders and promote a strong data culture
- Travel to multiple sites (Broken Hill, Adelaide, Dominican Republic) for project work
What you’ll need to succeed
Essential:
- Bachelor’s degree in Computer Science, Information Systems, or related field
- Minimum 4 years’ experience in data engineering or similar role
- Proven experience building and maintaining ETL/ELT pipelines
- Strong proficiency in SQL and data warehousing concepts
- Hands-on experience with Microsoft Azure, including Azure Data Factory, Azure Synapse, and Databricks
- Programming skills in Python or Java
Desirable:
- Experience in the mining or industrial sector
- Certifications such as Microsoft Certified: Azure Data Engineer Associate
- Familiarity with Big Data technologies (e.g., Spark, Hadoop)
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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