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 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
- Strong 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