Job Description Key Responsibilities - Design, build, and maintain scalable data pipelines and data integration solutions - Develop and optimise ETL/ELT processes to ingest, transform, and store data from multiple sources - Work closely with data architects, analysts, and downstream consumers to deliver reliable data solutions - Implement data processing solutions across batch and near-real-time use cases - Ensure data quality, reliability, and performance across data platforms - Support cloud-based data platforms, data lakes, and data warehouses - Apply data security, privacy, and access control requirements across data solutions - Troubleshoot and resolve data pipeline failures and performance issues - Contribute to automation, monitoring,



and continuous improvement of data engineering practices Required Skills Qualifications - 5+ years' experience in Data Engineering or data-focused engineering roles - Strong experience with ETL/ELT development and data pipeline orchestration - Solid proficiency in SQL and experience with relational and NoSQL data stores - Experience with cloud data platforms (e.g. Azure Data Factory, Databricks, Synapse or equivalent) - Experience working with structured and semi-structured data - Familiarity with data modelling concepts and performance optimisation techniques - Experience with CI/CD pipelines and DevOps practices for data solutions - Solid analytical, problem-solving, and troubleshooting skills Requirements
1. Experience in Salesforce Vlocity platform using specifically Apex, LWC, Ominiscripts, Flexcards.
Integration procedure and DataRaptors.
2. Experience working with OOP, frameworks

📌 Database Engineer (New South Wales)
🏢 Indigitise
📍 New South Wales