Source description
About the role
CLIENT IS REVIEWING RESUMES AS WE SPEAK!! THIS WOULD BE A QUICK CLOSE!
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 12+month project . Local to NYC only please OR Within 45MIN Distance.
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
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
1.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 Client, other Azure services is a plus.
SQL skill is a must to have And .NET C# skills will be a great plus.
2.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.
3.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.
4.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.
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