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12+ Years AWS Data Engineer

2 weeks ago

Toronto, Ontario, Canada Exdonuts Full time $80,000 - $180,000 per year

12+ Years AWS Data Engineer

Work Model : Hybrid ( 3 days to office)

Toronto ON Onsite

Primary Skills:
Redshift/glue/RDS/Airflow/Lambda setup

Key Responsibilities:

  • Data Pipeline Development:
  • Design and implement scalable
    ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and other AWS services
    .
  • Integrate structured and unstructured data from diverse sources into data lakes and warehouses (e.g., S3, Redshift, RDS, Athena).
  • Platform Engineering:
  • Build and maintain cloud infrastructure for data analytics platforms using Terraform, CloudFormation, or similar IaC tools.
  • Develop reusable frameworks and automation scripts to streamline data operations.
  • Data Analytics Enablement:
  • Collaborate with Data engineers, data scientists and analysts to deliver high-quality platform for Loading, reporting and machine learning.
  • Optimize data models and queries for performance and scalability.
  • Monitoring and Maintenance:
  • Monitor data pipelines and troubleshoot issues to ensure reliability and data integrity.
  • Implement Cloud development Kit, CI/CD pipelines for data engineering workflows using GitLab, Bitbucket, Jenkins, or GitHub Actions.
  • Security and Governance:
  • Ensure compliance with data governance and security best practices.

  • Implement access controls and encryption for sensitive data.

  • Proficiency in
    Python, SQL, and PySpark
    .

  • Hands-on experience with AWS services: S3, Glue, Lambda, Redshift, RDS, Athena, Step Functions.
  • Experience with orchestration tools like Apache Airflow or MWAA.
  • Familiarity with DevOps tools and practices (CDK,CI/CD, Git, Terraform).
  • Strong understanding of data modeling, warehousing, and ETL processes.

Preferred Skills:

  • Experience with big data tools (Spark, Hive, Kafka Python, Typescript).
  • Knowledge of containerization (Docker, Kubernetes).
  • Familiarity with data visualization tools ( Power BI).
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty).