
Azure Data Engineer
5 days ago
Transforming Data into Insights
">Our team of experts is on a mission to unlock the power of data and drive digital transformation. With over 100 years of combined experience in operational technology (OT) and IT, we have developed a unique approach to help organizations harness the potential of their data.
We work closely with clients to understand their business objectives and develop customized solutions that meet their needs. Our expertise spans across data storage, enrichment, activation, and monetization, enabling our clients to improve customer experiences, develop new revenue streams, and lower business costs.
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- 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 like Data Lake Storage, Synapse, Event Hubs, and Key Vault.
- Optimize Spark jobs for performance and cost-efficiency.
- Implement CI/CD pipelines using Azure DevOps for Databricks notebooks and 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 like Data Lake Storage, Synapse, Event Hubs, and Key Vault.
• Optimize Spark jobs for performance and cost-efficiency.
• Implement CI/CD pipelines using Azure DevOps for Databricks notebooks and Function Apps.
Benefits:
Strong understanding of data modeling, ETL/ELT processes, and data governance.
Experience with Delta Lake, MLflow, or Unity Catalog.
Knowledge of monitoring tools like Azure Monitor, Log Analytics, and Application Insights.
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