Data Engineer

Summary: The Data Engineer role involves designing, developing, and maintaining scalable data pipelines on AWS, with a focus on ETL processes and data quality. The position requires extensive experience with AWS services and proficiency in Python and SQL. This is a long-term contract opportunity based in Toronto, Canada, with remote working options available. The role emphasizes the importance of data governance and security standards across data platforms.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines on AWS using services such as Glue, EMR, Lambda, and Redshift.
• Implement ETL/ELT processes to ingest structured and unstructured data from multiple sources.
• Build and optimize data models, data lakes, and data warehouses to support analytics and reporting.
• Ensure data quality, security, and governance standards are met across all data platforms.

Key Skills:

• Strong experience (10+ Years) with AWS services: S3, Glue, Redshift, EMR, Athena, Lambda etc.
• Proficiency in Python, SQL, and data pipeline orchestration tools (e.g., Airflow, Step Functions).
• Solid understanding of data warehousing, data lake architectures, and ETL best practices.
• Experience with schema design, performance tuning, and data modeling.
• Knowledge of security, IAM, and compliance best practices in AWS.

Salary (Rate): undetermined

City: Toronto

Country: Canada

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT