Databricks Developer

vor 3 Wochen

Council of the City of Sydney, Österreich Delivery Centric Vollzeit

Delivery Centric is seeking an experienced Databricks Developer to engineer scalable, high-performance data solutions across enterprise platforms. This role drives end-to-end data pipeline development, optimizes Lakehouse frameworks, and ensures secure, reliable, and efficient data operations. You’ll collaborate closely with cross-functional teams to translate business requirements into resilient data architectures that accelerate decision‑making and digital transformation. Key Responsibilities Design, develop, and maintain robust data pipelines and Lakehouse solutions using Databricks and Delta architecture. Build scalable ETL workflows integrating Databricks with orchestration tools and enterprise data ecosystems. Develop high-performance Spark-based transformations using DataFrame APIs, Spark SQL, and Python/Scala. Leverage Databricks-native capabilities including Workflows, Delta Live Tables, and Unity Catalog for governance and automation. Configure and optimize Databricks workspaces, clusters, and jobs for performance, cost efficiency, and operational reliability. Implement data security, lineage, audit, and monitoring practices aligned with enterprise governance standards. Develop and maintain streaming solutions using Spark Structured Streaming and Autoloader with diverse ingestion platforms. Contribute to the design of conceptual, logical, and physical data models supporting analytical and operational workloads. Stay current with Databricks best practices, emerging capabilities, and modern data engineering trends. Qualifications Minimum 5+ years in IT with 3+ years hands‑on in Databricks design, development, and operational support. Proven expertise in Lakehouse Architecture including Delta Tables, Schema Evolution, ACID, versioning, and history tracking. Strong command of Spark ecosystem—DataFrame API, Spark SQL, Python/Scala programming, and SQL proficiency. Experience integrating Databricks with ETL/orchestration tools for enterprise-scale data operations. Hands‑on exposure to Databricks Workflows, Delta Live Tables, Unity Catalog, and platform‑native automation. Strong knowledge of cluster configuration, performance tuning, cost management, data security, and monitoring. Experience delivering streaming pipelines using Structured Streaming and Autoloader integrations. Understanding of data modeling frameworks across conceptual, logical, and physical layers. Bonus: Exposure to AI/GenAI workloads and Databricks/Cloud certifications (associate or professional level). Join a high-performing data and cloud engineering practice where innovation, automation, and enterprise-scale delivery drive measurable business impact. You’ll work with modern platforms, proven frameworks, and a team committed to excellence in data engineering, analytics, and cloud transformation. #J-18808-Ljbffr

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