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Data Engineer - remote

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
United States
Resource Informatics Group, Inc logo
Resource Informatics Group, Inc SME https://www.rigusinc.com/
51 - 200 Employees
About Resource Informatics Group, Inc
We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.
See more Resource Informatics Group, Inc offers

Job description

Data Engineer – Fully Remote

The Job:
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation Big Data & Fast Data applications.
  • Build software and frameworks to automate high-volume and real-time data delivery between our cloud based data platforms and applications.
  • Build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners
  • Leverage DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of software utilizing tools like Jenkins, Maven, Nexus, Chef, Terraform, Ruby, Git and Docker
  • Perform unit tests and conduct reviews with other team members to make sure the code is rigorously designed, elegantly coded, and effectively tuned for performance
  • Develop and deploy distributed computing Data applications using Spark or Pyspark
  • Utilize programming languages like Python and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
  • Sql experience
  • ETL experience

Basic Qualifications:
  • Bachelor's Degree or military experience
  • At least 3 years of professional work experience in data engineering
  • At least 3 years of experience with Python
  • At least 3 years of experience with Sql
  • At least 3 years of experience with Spark or Pyspark
  • At least 3 years of experience with ETL development
  • At least 2 year of experience working with cloud data capabilities - AWS

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Cloud DatabaseSQL (Programming Language)Chef (Configuration Management Tool)SparkrData EngineeringAmazon RedshiftPySparkSnowflake (Data Warehouse)Docker (Software)Apache MavenJenkinsGit (Version Control System)TerraformRuby (Programming Language)Python (Programming Language)
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