Databricks, SQL, Python, Data warehousing concepts
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Detailed Job description (Role & Responsibility, Skill and Experience range)
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We are looking for a hands on Developer Programmer to design, build, and optimize high throughput data pipelines on Azure Databricks using Spark (Scala) and SQL
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Design & develop scalable ETL/ELT pipelines in Azure Databricks using Spark (Scala) and SQL, following medallion architecture (Bronze/Silver/Gold) and Delta Lake best practices.
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Proven expertise in designing real time and near real time integrations
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Operationalize workloads:
jobs & workflows scheduling, CI/CD with Git (e.g., Azure DevOps), secrets management, and observability.
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Expertise in cloud platforms and related technologies, specifically:
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Data Platforms (e.g. Databricks) and big data technologies.
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Real time data processing frameworks Spark Streaming, Apache/Confluent Kafka
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Proficiency in SQL, Python, and data integration tools.
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Familiarity with Master Data Management solutions
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Excellent communication and stakeholder management skills.
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J-18808-Ljbffr
📌 Data Engineer Sydney
🏢 CareCone Group
📍 Sydney
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