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AWS Data Engineer - PERM - Local to Illinois (Naperville)
AWS Data Engineer - PERM - Local to Illinois (Naperville)Resource 1, Inc. • Naperville, IL, US
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AWS Data Engineer - PERM - Local to Illinois (Naperville)

AWS Data Engineer - PERM - Local to Illinois (Naperville)

Resource 1, Inc. • Naperville, IL, US
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[job_preview.job_type]
  • [job_card.full_time]
  • [job_card.part_time]
  • [job_card.permanent]
[job_card.job_description]

Resource 1 is in need of a Sr. AWS Data Engineer for a full-time / permanent position with our client in Naperville, IL . Candidate must be local to Illinois because of future hybrid onsite in Naperville expected. Our client is an employee-owned company with excellent benefits, growth opportunities and profit-sharing bonus.

This position is focused on building modern data pipelines, integrations and back-end data solutions. Selected individual will work within cross-functional Agile teams, collaborating with product owners, business analysts and other engineers to design and deliver data solutions that power business insights and AI products.

Responsibilities :

  • Design and develop scalable data pipelines for ingestion, transformation and integration using AWS services.
  • Pull data from PostgreSQL and SQL Server to migrate to AWS.
  • Create and modify jobs in AWS and modify logic in SQL Server.
  • Create SQL queries, stored procedures and functions in PostgreSQL and RedShift.
  • Provide input on data modeling and schema design as needed.
  • Manage infrastructure through infrastructure-as-code templates (Serverless Framework), supporting new data products and services in AWS.
  • Support inbound / outbound data flows, including APIs, S3 replication and secured data.
  • Assist with data visualization / reporting as needed.
  • Follow an Agile development methodology, with regular workshops and standup meetings, working in two-week sprints.

Qualifications :

  • 5+ years of data engineering experience.
  • Experience with AWS and its associated array of offerings ( Glue, Redshift, Athena, S3, Lambda, Spectrum ).
  • Strong experience with SQL, Python and PySpark.
  • A background in supply chain, logistics or distribution would be a plus.
  • Experience with Power BI is a plus.
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