Elevate your career as a Senior Data Engineer with strong AWS expertise and a focus on data pipelines. This role requires essential skills in Python and SQL, demanding 10+ years of Data Engineering experience.

In this position, you will handle complex data architectures and work with AWS cloud services. Your strong programming abilities and hands-on experience with AWS Glue and PySpark will ensure efficient data processing. Collaborating with various relational databases and applying your knowledge of ETL/ELT concepts is central to the role.

Key Responsibilities:
• Design and implement data pipelines using AWS services
• Develop and optimize ETL processes for efficiency
• Manage data storage solutions with Amazon S3 and Redshift




• Utilize AWS Glue and PySpark for data transformation
• Troubleshoot and resolve data issues as they arise

Requirements:
• 10+ years of experience in Data Engineering
• Proficient in Python and SQL programming
• Solid knowledge of AWS Glue and PySpark
• Familiarity with data warehousing and dimensional modeling
• Experience with Git and CI/CD processes

Harness your expertise in AWS and data engineering to make a significant impact on data-driven projects.
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📌 Senior Data Engineer with AWS Expertise (Ontario)
🏢 Quantum World Technologies
📍 Ontario