AWS Data Engineer

AWS Data Engineer

Location: Toronto, ON

Work Model: Onsite (Hybrid)

Experience: 10+ Years

Job Summary

We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong hands-on experience with AWS, Python, PySpark, SQL, and ETL/data engineering .

Must-Have Skills

• AWS
• AWS Glue
• PySpark / Apache Spark
• Python
• SQL
• ETL / ELT
• Data pipeline development
• Amazon S3
• AWS Lambda
• AWS Step Functions
• Data Warehousing
• Data modeling
• Experience with large-scale data processing

Responsibilities

• Design and develop scalable data pipelines using AWS Glue, PySpark, Python, and SQL .
• Build and maintain ETL/ELT workflows for enterprise data platforms.
• Develop data processing solutions using Apache Spark/PySpark .
• Integrate data from multiple structured and unstructured sources.
• Develop serverless solutions using AWS Lambda and Step Functions .
• Store and manage data using Amazon S3 and other AWS data services.
• Optimize data pipelines for performance, reliability, and cost.
• Implement data quality, validation, monitoring, and error-handling processes.
• Work with data analysts, architects, developers, and business stakeholders.
• Participate in code reviews, testing, deployment, and production support.

Required Qualifications

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with AWS Data Engineering services .
• Strong experience with AWS Glue and PySpark .
• Advanced SQL and Python skills.
• Experience developing production-grade ETL/data pipelines.
• Strong understanding of data warehousing and data modeling.
• Experience working with large datasets and distributed processing.
• Strong communication and problem-solving skills.