JD-
Minimum 8+ years of IT experience with 5+ years of hands‑on experience in designing, developing, implementing, and maintaining data solutions with Databricks.
This role requires close collaboration with various teams to gather data requirements, build scalable data pipelines, and ensure the overall solution is reliable, available, and optimized for high performance.
Proven expertise with Lakehouse Architecture with Delta Tables – Delta tables, Schema Evolution, ACID compatibility, History capture etc.
Integrating Databricks with various ETL/Orchestration tools and perform required operations.
Robust expertise in fundamental areas like Spark ecosystems, Data frame API & Spark SQL with Python/Scala and SQL as language.
Knowledge of latest Databricks features.
Hands on knowledge on Databricks native features like Workflows, Delta Live Tables, Unity CatLog etc.
Expertise in workspace and cluster configuration, performance tuning, cost optimization, data security, and log monitoring.
Experience with Spark Structured Streaming jobs with Autoloader integrating with different streaming platforms.
Experience in building optimal data pipeline architecture with knowledge and best practices from Databricks platform.
Fair understanding of Data Modelling and defining conceptual logical and physical data models.
Knowledge of different Azure Could services.
Nice to have - exposure to AI/Gen AI skill and/or any associate or skilled level Databricks/Cloud certifications.
Interested candidates can share their updated resumes on OR reach out to me on +61 .
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Information Technology
J-18808-Ljbffr
📌 Databricks Developer City Of Sydney
🏢 CareCone Group
📍 City of Sydney
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