4 days ago
Sydney, AustraliaSenior
Responsibilities
- Design, build, maintain, and optimize scalable data pipelines and data integration solutions.
- Develop ETL/ELT processes to ingest, transform, and store data from multiple sources.
- Collaborate with data architects, analysts, and downstream consumers to deliver reliable data solutions.
- Implement batch and near-real-time data processing solutions.
- Ensure data quality, reliability, security, privacy, access control, and performance across data platforms.
- Support cloud-based data platforms, data lakes, and data warehouses.
- Troubleshoot and resolve data pipeline failures and performance issues.
Requirements
- At least 5 years of experience in data engineering or data-focused engineering roles.
- Strong experience with ETL/ELT development and data pipeline orchestration.
- Solid SQL proficiency and experience with relational and NoSQL data stores.
- Experience with cloud data platforms such as Azure Data Factory, Databricks, and Synapse or equivalent platforms.
- Experience working with structured and semi-structured data.
- Familiarity with data modeling and performance optimization techniques.
- Experience with CI/CD pipelines and DevOps practices for data solutions.
- Strong analytical, problem-solving, and troubleshooting skills.
- Australian citizenship and security clearance are indicated in the job title.
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.