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AWS Senior Platform Engineer

TEEMA

Markham

On-site

CAD 100,000 - 140,000

Full time

16 days ago

Job summary

TEEMA, a leading firm in data engineering, is seeking an AWS Senior Platform Engineer to join their team in Markham or across Canada. This position requires a candidate who excels in designing and optimizing data solutions, has a strong background in AWS technologies, and is comfortable in agile environments.

Qualifications

  • 5+ years of experience in data engineering or platform engineering roles.
  • Strong hands-on experience with AWS technologies.

Responsibilities

  • Design, develop, and optimize data pipelines using EMR and Spark.
  • Implement and manage AWS Lake Formation for secure data access.
  • Write and maintain data quality checks for data assets.

Skills

Data Engineering
Platform Engineering
AWS EMR
Spark (PySpark)
Data Mesh Architecture
DevOps Practices
Terraform
Data Quality Checks

Job description

Job Title:AWS Senior Platform Engineer
Job ID:81733
Location:Markham, Ontario / Across Canada

Overview:
We are seeking a highly skilled and motivatedAWS Senior Platform Engineerto join our growing data engineering team. This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable, secure, and high-performance data platforms.

What you will be doing:

  • Design, develop, and optimize data pipelines usingEMR and Spark (PySpark)

  • Implement and manageAWS Lake Formationfor secure and governed data access

  • Contribute to the development and adoption ofdata mesh solutions, enabling decentralized data ownership and interoperability

  • Write and maintaindata quality checksto ensure accuracy, completeness, and reliability of data assets

  • Build out data catalog solutions on AWS

  • Support lightDevOps tasks, with a strong preference for experience inTerraformfor infrastructure as code

What you must have:

  • 5+ years of experience in data engineering or platform engineering roles

  • Strong hands-on experience withAWS EMR,Spark (PySpark), andLake Formation

  • Familiarity withdata mesh architectureand its implementation in enterprise environments

  • Proficiency in writing robustdata validation and quality checks

  • Experience working within structured frameworks and agile environments

  • Exposure toDevOps practices, especially usingTerraformfor provisioning and managing cloud infrastructure

For more information about TEEMA and to consider other career opportunities, please visit our website atwww.teemagroup.com

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