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Data Analytics Engineer

In United States

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Data Analytics Engineer   

JOB TITLE:

Data Analytics Engineer

JOB TYPE:

Full-time

JOB LOCATION:

Reston United States

JOB DESCRIPTION:

Job Title: Data Analytics Engineer Location: Remote (Reston, VA) Duration: 6 months Contract to Hire Job Description/Required Skills: Data Analytics Engineer role Moving all Analytics tools (Built on R, SAS, Python and ML based platforms) to AWS Cloud Will be Implementing and maintain Analytics platforms to enable Data Science Community to develop, create and deploy machine learning capabilities Should have good knowledge of ML application - Python and SAS based application Must have good exposure with different AWS Services - Analytics services(Glue, Kinesis, Athena etc.
.
), Databases Services (Aurora, Dynamo DB, AWS RDS, Redshift) and in AWS Compute services (EC2, Lambda, Beanstalk, ECS) Must have hands on programming exposure - Python & SAS Will be integrating these analytics platforms to AWS cloud by using Python and SAS Good exposure with DevOps engineering as well - CI/CD tools, IAAS and Cloud Orchestration Tools - Terraform, Kubernetes, AWS Cloud formation etc.
.
Previous Finance/Mortgage exposure would be a plus but not required Not looking for Data Scientist here.

Position Details

POSTED:

Mar 11, 2023

EMPLOYMENT:

Full-time

INDUSTRY:

SNAPRECRUIT ID:

S16531632396894053

LOCATION:

United States

CITY:

Reston

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Data Analytics Engineer   

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Job Title: Data Analytics Engineer Location: Remote (Reston, VA) Duration: 6 months Contract to Hire Job Description/Required Skills: Data Analytics Engineer role Moving all Analytics tools (Built on R, SAS, Python and ML based platforms) to AWS Cloud Will be Implementing and maintain Analytics platforms to enable Data Science Community to develop, create and deploy machine learning capabilities Should have good knowledge of ML application - Python and SAS based application Must have good exposure with different AWS Services - Analytics services(Glue, Kinesis, Athena etc..), Databases Services (Aurora, Dynamo DB, AWS RDS, Redshift) and in AWS Compute services (EC2, Lambda, Beanstalk, ECS) Must have hands on programming exposure - Python & SAS Will be integrating these analytics platforms to AWS cloud by using Python and SAS Good exposure with DevOps engineering as well - CI/CD tools, IAAS and Cloud Orchestration Tools - Terraform, Kubernetes, AWS Cloud formation etc.. Previous Finance/Mortgage exposure would be a plus but not required Not looking for Data Scientist here.


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