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Data Migration Engineer

Roles & Responsibilities

  • 4-8 years of experience in AWS and Snowflake.
  • 4+ years of experience with AWS Native Data Services.
  • Expertise in AWS tools such as Lambda, Glue, Spark, and Aurora.
  • Strong analytical and problem-solving skills.

Requirements:

  • Migrate data from on-premises systems to AWS cloud.
  • Utilize AWS Native tools for data processing and management.
  • Work with relational and dimensional databases on AWS.
  • Develop and implement shell scripts for automation.

Job description

Primary Technical Skills

  • The Candidate must have 4-8 years of experience in AWS, Snowflake
  • Must have 4+ years of experience on using AWS Native Data Services
  • Must have expertise in the following: AWS Native tools : Lambda, Glue, Spark, Aurora and Snowflake
  • Hands on experience on AWS Cloud platform especially S3, lambda, Step Functions, EC2, EMR
  • Data Migration Engineer having an experience migrating data from on prem to AWS cloud
  • Knowledge of Amazon AWS architecture and design
  • Working knowledge on migrating relational and dimensional databases on AWS Cloud platform
  • Experience on Shell scripting
  • Exceptionally strong analytical and problem solving skills
Job Category: Data Engineering
Job Type: Contract
Job Location: Hartford remote
Min Experience: 4 years
Max Experience: 8 years

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