Contract :: Salesforce open positions:: Scottsdale or Phoenix, AZ

Arizona City, AZ Arizona City AZ 85223

Date : May-16-22

Contract :: Salesforce open positions:: Scottsdale or Phoenix, AZ

Arizona City, AZ

May-16-22

Work Authorization

US Citizen
GC
H1B
GC EAD, L2 EAD, H4 EAD

Preferred Employment

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

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

SalesForce.com Developer

Permanent Direct Hire

Certification Preferred

Direct Client Requirement

Required Skills :

Salesforce.com, Business Analyst

Preferred Skills :

Domain :

Work Authorization

US Citizen
GC
GC EAD, L2 EAD, H4 EAD
H1B

Preferred Employment

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

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

SalesForce.com Developer

Permanent Direct Hire

Certification Preferred

Direct Client Requirement

Required Skills :

Salesforce.com, Business Analyst

Preferred Skills :

Domain :

Apply Now

Nityo Infotech
Pittsburgh, PA
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Job Description :

Hi,

Hope you are doing well,

Fulltime or C2H Only

Role	Location	Experience Range
Technical/Business Analyst	Onsite (Scottsdale)	8-12 years
Salesforce Dev Lead	Onsite (Scottsdale)	8-12 years
Salesforce Developer Onsite	Onsite (Scottsdale)	5 to 8 years
Salesforce Technical Manager - Onshore	Onsite (Scottsdale)	12 to 15 years
SF Automation QA	Onsite (Scottsdale)	5-8 Years

Client : Nityo Infotech

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($) : Market

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($) : USD 72 / Hourly / C2

GCP Data Engineer Phoenix AZ Must Have Qualifications: Bachelors degree in Engineering or Computer Science or equivalent OR Masters in Computer Applications or equivalent. 5+ years of software development experience and leading teams of engineers and scrum teams 3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark) Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of

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