Job Description
DATABRICKS CERTIFICATION IS ESSENTIAL & REQUIRED FOR THIS ROLE!!
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IT IS ABSOLUTLEY ESSENTIAL THAT YOU HAVE SOLID CLIENT FACING DATABRICKS & DLT
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We are looking for 3 Senior Azure candidates with expertise within Databricks to join our clients teams.
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We have open Databricks roles with 3 different organisations.
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We have 2 roles both in office and 1 role which is hybrid.
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Assignments Summary
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Design, develop, and maintain data platforms and governance frameworks with a strong focus on Databricks and Fabric, ensuring robust and secure data pipelines.
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Main Responsibilities
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Drive improvements of the Databricks platform setup for scalable and secure data solutions.
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Design and implement governance models, catalogs, and metadata management.
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Work with Databricks and related services including Delta Live Tables and Lakeflow connections.
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Apply data modelling principles for analytical and operational workloads, including star and snowflake schemas.
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Implement and manage Infrastructure as Code (IaC) solutions for Databricks.
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Collaborate with stakeholders to translate requirements into governed data products.
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Key Requirements
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Bachelor's or Master's in Computer Science, Data Engineering, or equivalent experience.
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Proficiency in Python, SQL, and Terraform (or equivalent IaC tools).
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Fabric an advantage
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Deep expertise in the Databricks platform, including Delta Lake and Unity Catalog.
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Experience in Infrastructure as Code, automation, and CI/CD pipelines.
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Knowledge of cloud technologies, preferably AWS.
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Strong background in modeling structured and unstructured data.
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A Grenadier attitude.
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Infrastructure and DevOps
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Lead and enforce the use of source control systems such as Git or Azure DevOps in line with company standards.
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Design, implement, and maintain CI/CD pipelines and environment management processes for data engineering solutions.
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Implement and maintain automated testing and data validation for pipelines.
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Lead performance testing and optimisation activities for data engineering solutions.
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Testing and Quality
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Design, write, and review unit and integration tests to ensure solution quality and reliability.
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Document issues and resolutions accurately for review•
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Lead and oversee testing processes to validate data accuracy, performance, and quality.
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Ensure solutions are delivered in line with quality and documentation standards.
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Support knowledge sharing and improvement of internal frameworks and templates.
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Nice to Have
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Familiarity with high-performance data processing pipelines.
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Experience with data visualisation tools.
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#J-*****-Ljbffr

📌 Microsoft Data Engineer / Consultant (Queensland)
🏢 Nameless
📍 Queensland