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Data Engineer Consultants

In Texas / United States

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Data Engineer Consultants   

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JOB TITLE:

Data Engineer Consultants

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Austin Texas / United States

JOB DESCRIPTION:

Title: Data Engineer Consultants

Location: Austin, TX (Remote)

Duration: 12+ months

Exp range : 8-12 yrs max

No of positions : 1

Data Engineer

Automate end-to-end ETL/ML pipelines with structural understanding of data products.
. Automate, deploy and maintain ML pipelines into existing cloud resources.
Work with team members to assist with data-related technical issues and support their data product needs, and maintain high-standard documentations

Required Skills
A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience
Experience in implementing data pipelines using python, familiar with Pandas and Numpy
Experience with workflow scheduling / orchestration such as Kubernetes or Airflow
Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies
Experience with query APIs using JSON, ProtocolBuffers, or XML
Experience with Unix-based command line interface and Bash scripts
Experience with Postgres database, familiar with SQL scripting
Experience with Web or REST API development in Python

Optional Skills
Experience with Pandas a plus
Data visualization or web development skills a plus

Education
Bachelors in computer science or engineering; Masters preferred

Position Details

POSTED:

Aug 04, 2021

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16174669242339630

LOCATION:

Texas / United States

CITY:

Austin

Job Origin:

CEIPAL_ORGANIC_FEED

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

Data Engineer Consultants    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Title: Data Engineer Consultants

Location: Austin, TX (Remote)

Duration: 12+ months

Exp range : 8-12 yrs max

No of positions : 1

Data Engineer

Automate end-to-end ETL/ML pipelines with structural understanding of data products.
. Automate, deploy and maintain ML pipelines into existing cloud resources.
Work with team members to assist with data-related technical issues and support their data product needs, and maintain high-standard documentations

Required Skills
A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience
Experience in implementing data pipelines using python, familiar with Pandas and Numpy
Experience with workflow scheduling / orchestration such as Kubernetes or Airflow
Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies
Experience with query APIs using JSON, ProtocolBuffers, or XML
Experience with Unix-based command line interface and Bash scripts
Experience with Postgres database, familiar with SQL scripting
Experience with Web or REST API development in Python

Optional Skills
Experience with Pandas a plus
Data visualization or web development skills a plus

Education
Bachelors in computer science or engineering; Masters preferred


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