Microsoft Azure: Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL, Event Hub
Data streaming (e.g., Azure Event Hubs, Kafka)
infrastructure-as-code (e.g., Terraform, ARM templates)
SQL, Python, and Spark.
Job Description
Design and implementation of enterprise-grade data solutions using Azure and Microsoft Fabric.
Design and implement data Lakehouse Solutions leveraging OneLake, Delta Lake, and Direct Lake mode in Power BI.
Define and enforce data engineering best practices, including CI/CD, versioning, testing, and monitoring.
Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to translate business needs into technical solutions.
Drive data governance, security, and compliance across all data assets.
Mentor and guide data engineers, fostering a culture of innovation and excellence.
Evaluate and integrate new tools and technologies to enhance data capabilities.
Own the data lifecycle, from ingestion and transformation to consumption and visualization
Numbers & Facts
Location
Fremont, CA
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
ARM (Advanced RISC Machine)unmatched
Best Practicesunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Scienceunmatched
Hubsunmatched
Information/Data Security (InfoSec)unmatched
Microsoft Product Familyunmatched
Microsoft Windows Azureunmatched
Power BIunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Testingunmatched
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