Azure Cloud Engineer

Title :: Azure Cloud Engineer

Location :: Downtown NYC (locals only)-Onsite Interview

Duration :: Contract

MUST HAVE: .Certifications: Azure certifications such as Azure Security Engineer Associate or Azure Solutions Architect Expert are highly desirable. Azure Databricks Data Engineer Professional Certificate is required. Databricks Machine Learning Certificate Preferable.-MUST PROVIDE COPY OF CERTIFICATION

Our Utility Client in Downtown NYC is in need of an Azure Cloud Engineer for 12month project . Local to NYC only please.

• MUST BE ABLE TO DO ONSITE INTERVIEW!

• HYBRID- 3 DAYS ONSITE PER WEEK IN NYC

• MUST SHOW PROOF OF ADDRESS

• MUST PROVIDE LINKED IN PROFILE

• MUST BE ABLE TO DO A 30 MINUTE TECHNICAL ROUND WITH MY TECH SCREENER BEFORE SUBMITTING TO CLIENT

Need a Short video to submit the client stating the following:

Hi my name is and I am applying for the Sr. Cloud Engineer role with Con Edison and I am open to doing an in person interview relocating and working in a hybrid capacity thank you.

Must Have:

Ability to intrepid modify and write scripts and SQL queries
Azure Cloud Data Engineer
Azure Databricks
Azure Data Factory

PowerBI Report Server
Python

Nice to Have:

3 years of experience with creating stored procedures in SQL
.NET C# skills

JOB DESCRIPTION
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 Client other Azure services is a plus.

SQL skill is a must to have C# skills will be a great plus.

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.

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.

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.

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