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Senior Data Platform / Cloud Engineer (AWS Data Lake)

J&M Group

Toronto · On-site Full-time Senior 1mo ago

About the role

Responsibilities

  • Support Enterprise Data Lake (EDL) analytics infrastructure using AWS (EMR, Glue, S3)
  • Develop automation, tools, and cloud-based data solutions
  • Manage EMR, Glue, S3, and data pipelines (curated to derived layers)
  • Handle production support, incidents, and system reliability
  • Work with IAM, deployments, and controlled data environments
  • Optimize performance, cost, and processes using metrics and AI tools
  • Collaborate with teams and support migration to Snowflake/Iceberg

Qualifications

  • Strong skills in Python, SQL, Bash/Shell
  • Hands-on AWS experience (EMR, EC2, Glue, Lambda, S3, etc.)
  • Knowledge of Data Lake, Data Mesh, Snowflake, Iceberg
  • Linux, CI/CD, and automation experience
  • Strong problem-solving, monitoring, and communication skills
  • Eligibility for Reliability Status Clearance (mandatory)

Skills

AWSBash/ShellCI/CDData LakeData MeshDockerEC2EMRGlueIAMIcebergLambdaLinuxPythonS3SnowflakeSQL

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