Position: Sr. AWS Developer

Location: Toronto, Canada - Onsite

Duration: Long Term

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Design, build, and maintain robust ETL/ELT pipelines using AWS Glue and Apache Airflow.

Expertise in Apache Airflow DAG creation, scheduling, dependency management, and error handling.

Strong hands-on experience with AWS Glue both Glue Jobs (PySpark) and Glue Catalog.

Develop SQL scripts and optimize data models in Amazon Redshift.

Orchestrate data workflows and job dependencies using Airflow DAGs.

Collaborate with data engineers, analysts, and stakeholders to understand data requirements and deliver scalable solutions.

Implement and enforce data quality checks, schema validation, and monitoring for all data pipelines.

Integrate various AWS services including S3, Lambda, Step Functions, Athena, and CloudWatch.