
Chief Data Architect
24 hours ago
As a skilled data engineer, you will play a key role in designing and implementing scalable data pipelines using Azure Databricks (PySpark/Scala) to meet the organisation's data needs.
- Develop robust data pipelines that can handle large volumes of data efficiently.
- Implement event-driven data processing and automation using Azure Function Apps.
- Integrate Databricks with other Azure services like Data Lake Storage, Synapse, Event Hubs, Key Vault, etc.
- Optimise Spark jobs for performance and cost-efficiency.
- Design and implement CI/CD pipelines using Azure DevOps for Databricks notebooks and Function Apps.
- Monitor and troubleshoot production workloads, ensuring high availability and reliability.
- Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions.
Required Skills & Qualifications:
- Strong experience with Azure Databricks and Apache Spark (PySpark or Scala).
- Proficiency in developing Azure Function Apps using C#, Python, or JavaScript.
- Solid understanding of Azure Data Lake, Event Hubs, Blob Storage, and Key Vault.
- Experience with CI/CD pipelines, Git, and Infrastructure as Code (ARM/Bicep/Terraform).
- Familiarity with data modeling, ETL/ELT processes, and data governance.
- Strong problem-solving skills and ability to work in an agile environment.
Preferred Qualifications:
- Microsoft Certified: Azure Data Engineer Associate or similar certifications.
- Experience with Delta Lake, MLflow, or Unity Catalog.
- Knowledge of monitoring tools like Azure Monitor, Log Analytics, and Application Insights.
This is an excellent opportunity for a skilled data engineer to join our team and contribute to the success of our organisation.
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