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MongoDB AWS ETL RDBMS Data Architecture datawarehouse Architect
(Jobs in San Fr
 
Requirement id 100357
Job title Architect
Job location in San Francisco, CA
Skills required Data Engineer, Data Storage, Document Design, MongoDB AWS ETL RDBMS Data Architecture
Open Date 15-Nov-2019
Close Date
Job type Contract to Hire
Duration 6 Months
Compensation DOE
Status requirement not found
Job interview type Face to Face interview
   Email Recruiter: coolsoft
Job Description Architect: Data Engineer, Data Storage, Document Design, MongoDB AWS ETL RDBMS Data Architecture

Candidate must be our W2 Employee


We should submit only GC,GC - EAD, L2-EAD,H4-EAD and Citizens


Candidates RTR form should be only on the name of APEX Systems

Description:


We are looking for a data architect to lead solution design for our Direct to consumer data pipeline and data lake solution.



Data solution architect is responsible for managing full life cycle of our data pipeline solution including requirement analysis, platform selection, technical architecture design, application development, testing and deployment of proposed solution.



We are looking for a candidate with 8+ years of working experience in lead/ Sr. data engineer role.

3+ years of experience in Data architecture role working with big data technologies.



In order to be successful in this role: candidate should have:



Experience with Data storage solutions: Redshift, Document DB, Aurora DB, Redis, AWS Neptune, Mongo DB, ElasticSearch and similar.
Firm understanding of programming languages: Java, Python/ R
Experience working with ETL/ Replication solutions: Talend, AWS DMS, DataPipeline, Elastic MapReduce and Glue
Experience with designing solutions for large data-warehouses and be able to architect and advise on data lake solutions.
Firm understanding of cluster and parallel architecture in context to data warehouse design.
Experience with designing high scale/ distributed RDBMS.
8+ years of data experience (data engineer or similar roles)
3+ years data architecture role



Candidate should also have a firm understanding of the following skills needed for solution design/ architecture:



Be able run system benchmarks and analyze bottlenecks.
Be able to evaluate technology solutions
Document solution design and use cases
Excellent written and verbal communication skills
Perform analysis of business problem and technical environments to aid with designing solutions
Be creative and analytical in problem solving
Self starter and be able to work in fast paced agile development environment
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 100357 while calling.
 
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Data Engineer job openings in San Francisco, CA
Jobs List

Spark Developer/Data Engineer
Create date: 20-Feb-2020
General skills
Must have

Spark
5 year(s) of experience
Java
8 year(s) of experience
Kafka
5 year(s) of experience
NO SQL
5 year(s) of experience

Languages
Must have

English
Native or bilingual proficiency

Experience required

.... (This job is for - Spark Jobs in CA SanFrancisco Engineer - (in San Francisco, CA))

Data Engineer - 35411
Create date: 12-Jun-2018
Candidate must be our W2 Employee

Candidates RTR form should be only on the name of APEX Systems

Job Description :

Job Overview:

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Note:

* Agency Interview Type: Either Webcam Interview or In Person

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Description :


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Note:

* The position is 100% onsite.

Description:

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We should submit only GC,GC - EAD, L2-EAD,H4-EAD and Citizens.

Job Description:

Optum – ETL/Data Engineer

Contract to hire

100% Remote

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Jobs List

Data/Kafka Engineer - 21-00594
Create date: 26-Mar-2021
On-site/Remote:
On-site

Job industry:
Automotive and Transportation

Description:

Responsibilities

Job Title: Senior Data/Kafka Engineer

Location: Fremont, CA

Duration: 6+ months

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Create date: 23-Mar-2020
Note:

* Remote conditions : Pacific Timezone, 100% remote. Potential for 1 week on-site at beginning.

Responsibilities

What the job is:

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Responsibilities

What the job is:

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Job Description :

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(Architect: Data Engineer, Data Storage, Document Design, MongoDB AWS ETL RDBMS Data Architecture in San Francisco, CA)
     
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