Google Cloud Platform Lead Data Engineer
Job Title:
Google Cloud Platform Lead Data Engineer Location:
Minneapolis, MNPosition Type:
Contract Note:
Require 10
years of experience profiles
Job Description:
Approx 10
years of experience with proven experience in data platform and big data engineering Willingness to coordinate with the Offshore team (India) after getting the project Hands-on Experience in SQL is mandatory.
Quickly learning skills to adapt Google Cloud Platform cloud native SQL (Bigquery).
Hands-on experience in Python is mandatory.
Experience in using a Jupyter Notebook is a plus.
Hands-on and deep experience working with Google Data Products (e.
g.
BigQuery, Dataflow, Cloud Composer, GCS, etc.
).
Willingness to continuously learn & share learnings with others Capability to collaborate with stakeholders and project leaders to understand requirements, and deliverables, and set expectations on tasks that you will be responsible for Ability to work in a fast-paced, rapidly changing environment Ability to work with business stakeholders and IT team to understand the requirements and quickly translate them into workable solutions using Python and SQL (Bigquery) Recommended Skills Big Data Cloud Computing Data Streaming Google Cloud Python (Programming Language) Sql Databases Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3s3yb723mkwtrpswfk', 'ExternalApply-j3s3yb723mkwtrpswfk'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
Google Cloud Platform Lead Data Engineer Location:
Minneapolis, MNPosition Type:
Contract Note:
Require 10
years of experience profiles
Job Description:
Approx 10
years of experience with proven experience in data platform and big data engineering Willingness to coordinate with the Offshore team (India) after getting the project Hands-on Experience in SQL is mandatory.
Quickly learning skills to adapt Google Cloud Platform cloud native SQL (Bigquery).
Hands-on experience in Python is mandatory.
Experience in using a Jupyter Notebook is a plus.
Hands-on and deep experience working with Google Data Products (e.
g.
BigQuery, Dataflow, Cloud Composer, GCS, etc.
).
Willingness to continuously learn & share learnings with others Capability to collaborate with stakeholders and project leaders to understand requirements, and deliverables, and set expectations on tasks that you will be responsible for Ability to work in a fast-paced, rapidly changing environment Ability to work with business stakeholders and IT team to understand the requirements and quickly translate them into workable solutions using Python and SQL (Bigquery) Recommended Skills Big Data Cloud Computing Data Streaming Google Cloud Python (Programming Language) Sql Databases Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3s3yb723mkwtrpswfk', 'ExternalApply-j3s3yb723mkwtrpswfk'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
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