Sr AWS Cloud Developer
3B Staffing LLC, Washington, District of Columbia, United States
Sr AWS Cloud Developer
on site in Washington, DC
6- Months Contract
4 days on site, candidate must be local to in person interviews.
Must go on site, have hands on Python and strong AWS Sagemaker exp
Job Description:
I really need the AWS Python Cloud Developer who can go on site...
Senior
and Not Actually a Developer or Tester -
The Client has moved to AWS Cloud and now, their end users, the Data Analysts and Data Scientists, etc., have their output landing in different places than they are used to - i.e. S3 Buckets, EC2... etc.,
So this has changed how the end users need to work - going to S3 buckets to get their Data or perhaps EC2 machines, etc. as this is where the data now "lands"...
This role is to help these End Users "get to the data" - and / or into the environment so they can get to their own data...
Tools to be utilized include
SAGEMaker, Jupyter Notebook, Domino, and others including Redshift, EMR, Lambda, S3, ECS, SQL
The role will perform as a
Solution Provider
to automate "things" such as access to environments, access to data, moving data around, "whatever" the End Users need... all post processing meaning "when the data is triggered" ...
This role will need to help transform these environments to something more user friendly...
They is no need for direct access to the data -
Overall, the role will get the environment to a place where it is end user friendly - along with helping with the end users with reporting, and other needs of the end user
Coding in
Python is mandatory -- "R" is NTH
AWS Knowledge across the Data Tier and their associated services is especially critical.
on site in Washington, DC
6- Months Contract
4 days on site, candidate must be local to in person interviews.
Must go on site, have hands on Python and strong AWS Sagemaker exp
Job Description:
I really need the AWS Python Cloud Developer who can go on site...
Senior
and Not Actually a Developer or Tester -
The Client has moved to AWS Cloud and now, their end users, the Data Analysts and Data Scientists, etc., have their output landing in different places than they are used to - i.e. S3 Buckets, EC2... etc.,
So this has changed how the end users need to work - going to S3 buckets to get their Data or perhaps EC2 machines, etc. as this is where the data now "lands"...
This role is to help these End Users "get to the data" - and / or into the environment so they can get to their own data...
Tools to be utilized include
SAGEMaker, Jupyter Notebook, Domino, and others including Redshift, EMR, Lambda, S3, ECS, SQL
The role will perform as a
Solution Provider
to automate "things" such as access to environments, access to data, moving data around, "whatever" the End Users need... all post processing meaning "when the data is triggered" ...
This role will need to help transform these environments to something more user friendly...
They is no need for direct access to the data -
Overall, the role will get the environment to a place where it is end user friendly - along with helping with the end users with reporting, and other needs of the end user
Coding in
Python is mandatory -- "R" is NTH
AWS Knowledge across the Data Tier and their associated services is especially critical.