Sr. Azure Cloud Architect

New York, NY New York NY 10286

Date : Jun-07-24

Sr. Azure Cloud Architect

New York, NY

Jun-07-24

Work Authorization

US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

$60k - $130k/year

Duration

:

6MONTHS

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

Windows Azure

Consulting / Contract

Direct Client Requirement

Required Skills :

Sr. Azure Cloud Architect

Preferred Skills :

Domain :

IT/Software

Work Authorization

US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

$60k - $130k/year

Duration

:

6MONTHS

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

Windows Azure

Consulting / Contract

Direct Client Requirement

Required Skills :

Sr. Azure Cloud Architect

Preferred Skills :

Domain : IT/Software

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Intone Networks
Parlin, NJ
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Job Description :

POSITION	Sr. Azure Cloud Architect
LOCATION	Remote
DURATION	6+ months

INTERVIEW TYPE	Video
VISA RESTRICTIONS	No Sponsorship Available
REQUIRED SKILLS	Minimum: Preferred: Experience in building/operating/maintaining fault tolerant and scalable data processing integrations using Azure Experienced using Azure Data Factory or Synapse Analytics Experienced using Databricks & Apache Spark Strong problem-solving skills with emphasis on optimization data pipelines Excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques Experienced in DevOps and Agile environments and using CI/CD pipelines. Experience using Docker or Kubernetes is a plus Demonstrated capabilities with cloud infrastructures and multi-cloud environments such as Azure, AWS, IBM cloud Experience architecting transactional based data platforms Experience architecting real-time/event streaming data platforms (IoT)

1 Create and maintain optimal data pipeline architecture

2 Assemble large, complex data sets that meet functional / non-functional business requirements.

3 Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

4 Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies.

5 Deliver automation & lean processes to ensure high quality throughput & performance of the entire data & analytics platform.?

6 Work with data and analytics experts to strive for greater functionality in our analytics platforms.

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