Job Description
Responsibilities
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5 years in a data engineering or closely related role.
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Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling using Azure Databricks.
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Ensure pipelines are resilient, performant, and cost optimised.
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Implement monitoring, alerting, and automated recovery processes.
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Apply data quality checks and reconciliation processes to ensure accuracy and completeness.
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Maintain metadata, lineage, and documentation to support governance requirements.
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Adhere to role-based access control, data privacy, and security standards.
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Contribute to the development and maintenance of ingestion frameworks, transformation layers, and data models.
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Implement and maintain CI/CD pipelines for automated testing and deployment.
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Optimise data storage and retrieval strategies to meet performance needs.
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Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit for purpose solutions.
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Participate in code reviews and knowledge sharing sessions to improve team capability.
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adopt new tools, frameworks, and techniques to enhance engineering capability.
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Identify opportunities to automate and streamline workflows.
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Key Skills & Experience
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Technical Skills
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Proficient in SQL for data wrangling, transformation, and analysis
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Solid programming skills in Python, Scala, or Java
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Experience building ETL/ELT pipelines in cloud or distributed environments
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Familiarity with cloud platforms and services
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Knowledge of data modeling concepts
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Experience with data orchestration tools
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Familiar with version control and CI/CD pipelines
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Understanding of data quality, validation, and observability practices
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Works independently with minimal supervision on well scoped tasks
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Collaborates effectively with stakeholders
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Communicates clearly and documents work for others to maintain or build upon
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Open to code reviews, feedback, and continuous learning
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Able to troubleshoot and resolve data pipeline failures or performance issues
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Interested Candidates can share their updated resumes on
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or can reach me on ***************.
#J-*****-Ljbffr

📌 Data Engineer (Azure Databricks) (New South Wales)
🏢 CareCone Australia
📍 New South Wales