Big Data Engineer


Salary:

$80.75 to $93.50 per hour

Location:

San Francisco, CA

Date Posted:

June 6, 2019

Employment Type:

Consulting

Job Reference:

00410-0010961140

Staffing Area:

Technology & IT


Description
Duration: 6 months

Top Skills:
3 different projects
GCP project, split project into multiple

*First Project - 3-6 months
Google tech, ACL, GCS, BigQuery, networking knowledge, understand security
Work with different teams, comm skills need to be very good.
1-2 quarters long
Security side ? most data is in GCP, need to control who can access what. Need strict access control.
Up to 10 terabytes data, migrate data to different project ?
Need someone strong enough to execute
Migration project

More operational side, understand how data works, migrate tables, how to make networking well.
Team ? will work solo, but will communicate with different teams, talk with analyst and BI group, must be detailed oriented
Technical Skills:
Google cloud 3+ years of exp
GCS queries, BigQuery,


*Second project: 2-3 month projects (2.1)
Pipeline team, exp on containers, kubernetes, deploy to kubernetes, running major pipeline, scala based,
Containerized, deployed to gcp,
Want them to containerized the project
Deployment is not efficient right now.
Moving to kubernetes since it more scalable ? Kakfa not good,
Understand how docker works
Need to have done this before

Tech Skills
Kubernetes ? 2 years of exp
Java ? 3 years ? no code just understand, minimal change, not building anything out with java
Scala - - understand, read, some changes but not full code, change to containerized ? 2 years
GCP ? understand
All systems are scala except bigloader

*Third project: 2-3 month (2.2)
Issues with data pipeline, new features,
Scala developer
Google, bigquery, stackdriver, big table,
Docker and kubernetes experience
Requirements
Google Cloud Platform
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San Francisco, CA

50 California Street
10th Floor
San Francisco, CA 94111
us
415.434.4940
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