
Unlocking the Full Potential of Data Engineering
3 days ago
Unlock the Power of Data Engineering with Azure
A leading provider is seeking a seasoned data engineer to design, implement and maintain scalable data pipelines using Azure Databricks. As an integral member of our team, you will develop and deploy event-driven data processing and automation solutions using Azure Function Apps.
Key Responsibilities:
- Design and implement scalable data pipelines using Azure Databricks.
- Develop and deploy Azure Function Apps for event-driven data processing and automation.
- Integrate Databricks with other Azure services such as Data Lake Storage, Synapse, Event Hubs, Key Vault, etc.
- Optimize Spark jobs for performance and cost-efficiency.
- 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 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.
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