GCP Cloud Architect / Lead

New York, NY New York NY 10286

Date : Apr-26-20

GCP Cloud Architect / Lead

New York, NY

Apr-26-20

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 ($)

:

Market

Duration

:

12 months

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

x-Other

Consulting / Contract

Third Party OK

Required Skills :

Hadoop, Big Data, Data Warehousing, ETL, Windows Azure

Preferred Skills :

Domain :

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 ($)

:

Market

Duration

:

12 months

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

x-Other

Consulting / Contract

Third Party OK

Required Skills :

Hadoop, Big Data, Data Warehousing, ETL, Windows Azure

Preferred Skills :

Domain :

Apply Now

Siyaton
Libertyville, IL
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Job Description :

Position:GCP Cloud Architect / Lead
Location:NYC, NY
Duration: 12months contract

Job Description • 10+ years of experience in data area like Cloud(GCP/AWS/Azure), Data warehouse, big data lake, ETL, data quality & etc.
3+ years of strong GCP Data background (BigTable, BigQuery, CloudSQL)
Work with Data architects & SME''s of current Hadoop data lake to understand the current & to be Google Cloud Platform (GCP) architecture and overall migration approach.
Analyze existing Hadoop data lake & data flow jobs developed Spark and MapReduce.
Migrate on-premise Hadoop data lake workloads to GCP using BigQuery, Cloud Dataproc, CloudSQL & etc.
Migrate history data from Hadoop data lake to GCP using gateway like DistCp(Distributed Copy
Tune the existing jobs to provide better performance in Dataproc of cloud platform.
Support testing of new and existing workloads migrated to GCP.
Support data validation efforts.
Collaborate with the stakeholders to create the Go-live plan and participate in production release.
Support and participate in Product deployment planning and execution
Create Run book & support other documentation.

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