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Data Engineer - DynamoDB/Hadoop Resource 

Remote: 
Full Remote
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.
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Job description

Title: Data Engineer - DynamoDB/Hadoop Resource

Location: Jupiter FL or 100% Remote (EST hours)

Employment Type: 12 month contract to hire

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Description:

We are looking for someone that can understand design and best structure when it comes down to the data pipeline build. Candidates must have prior experience and proficiency with Java as this will be used for the data pipeline. The ideal candidate would have experience importing sets of data into different sources as this person will be working on migrations from Hadoop and Greenplum into the enterprise data platform.

Required Qualifications

  • 3+ years of professional experience
  • Experience with DynamoDB and Redshift
  • Experience with Java and Python
  • Experience with ETL pipeline engineering and architecture
  • Experience with EMR
  • Experience with Hadoop
  • Experience with AWS Glue

Preferred (not required) Qualifications:

  • Experience with Spark/PySpark
  • Experience with AWS S3 and/or AWS API Gateway
  • Experience with ETL pipeline engineering and architecture
  • Experience with data lake architecture
  • Experience with end-to-end data flow
  • Experience with Talend or Control-M
  • Experience with Amazon Managed Streaming Apache Kafka (MSK) or Athena
  • Experience with AMI Meter Data Management
  • Experience with DB2 / Mainframe

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

Apache HadoopAmazon S3Amazon AthenaIBM MainframePySparkDB2/400Python (Programming Language)Java (Programming Language)Amazon API GatewayEpic EMRAWS GluePipeline PlanningSparkrMeter Data ManagementAmazon RedshiftControl-M (Batch Scheduling Software)Amazon DynamoDBAmazon MQTalend
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