Senior AWS Data Engineer

Senior hashtag#AWS Data Engineer
📍 Location: Toronto, ON | 💼 Employment Type: Long Term Contract

Key Responsibilities
Pyspark, Python, SQL coding is important.
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.

Why Join Us?
✨ Work on cutting-edge cloud data projects
✨ Growth opportunities in a dynamic environment
✨ Collaborative and innovative culture
👉 If you are passionate about building next-gen cloud data solutions, we’d love to connect!
📩 Apply directly via LinkedIn or send your resume to pooja.sehrawat@quantumworldit.com

Regards,

Pooja Sehrawat
Canada Team Lead
Cell: +1 437-524-5707
Email: pooja.sehrawat@quantumworldit.com
Quantum World Technologies Inc.