Elevate your career as a Senior Data Engineer with robust 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 solid 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.

📌 Senior Data Engineer With Aws Expertise Toronto
🏢 Quantum World Technologies
📍 Toronto