Transform data management as a Cloud Data Engineer, leveraging your AWS skills in pipeline design and ETL processes. Work with large datasets and utilize advanced cloud technologies.
This position is ideal for candidates with a robust background in AWS and data engineering. You will work on designing and implementing effective data pipelines to handle large data volumes. Proficiency in Python, SQL, and AWS tools such as Glue and Redshift is vital. The role promotes collaboration among teams to enhance data workflows and deliver quality insights.
Key Responsibilities:
• Architect and implement robust data pipelines in AWS
• Conduct data cleansing and validation procedures
• Develop efficient ETL solutions using Python and SQL




• Deploy and manage CI/CD processes for applications
• Schedule data processes using airflow and AWS Step Functions
Requirements:
• Proven experience with AWS data engineering tools
• Ability to design and implement scalable data solutions
• Expertise in Python, SQL, and cloud deployment
• Knowledge of monitoring and alert systems like CloudWatch
• Strong collaborative and communication abilities
Leverage your cloud technology skills to deliver data-driven insights in our data engineering team.
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📌 Cloud Data Engineer with AWS Expertise (Toronto)
🏢 apptoza
📍 Toronto