Role: Azure Data Engineer
Location: Onsite in New york city, NY
Duration: 12+ month contract
Work auth: USC/GC or EADs
LinkedIn: Must have
The role is hybrid in New York City. The selected resource must be available to work onsite.
Our customer is seeking a dedicated and detail-oriented individual to join their team as an Azure Data Engineer, with hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design build, and maintain ETL pipelines, manage data lakes and create insightful reports and visualizations.
Mandatory Skills
- Ability to interpret, modify and write scripts and SQL queries
- Apps/.Net Developer
- Azure Cloud Data Engineer
- Azure Databricks
- Azure Data Factory
- Azure logic App
- Power BI Report Server
- Python
Desirable Skills
Azure Platform Experience
The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI.
They should be able to design, build, and maintain ETL pipelines, manage data lakes and create insightful reports and visualizations.
Experience with Azure SQL Database, Azure Synapse Analytics, Azure COSMOS DB , Azure ML, other Azure services is a plus.
SQL skills are required, and .NET C# skills will be a great plus.
Azure Data Engineer: Design, implement, and maintain data solutions using Azure cloud services. Develop ETL processes, optimize data pipelines, and ensure data quality and security. Collaborate with teams to deliver scalable data architecture supporting analytics and business intelligence.
Security On Azure Platform
The candidate should have a strong understanding of security protocols within the Azure platform.
This includes knowledge of identity and access management, network security, encryption methods, secure data communication, and securing serverless architectures.
Data Governance
The candidate should have experience in implementing data governance strategies.
This includes setting up data governance frameworks, defining data ownership, ensuring data quality, and implementing data privacy and compliance measures.
Knowledge of data cataloging, data lineage, and metadata management is also important.
Certifications
Azure Databricks Data Engineer Professional Certificate is required.
Azure certifications such as Azure Security Engineer Associate, or Azure Solutions Architect Expert are highly desirable.
Databricks Machine Learning Certificate Preferable.