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 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 • 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. #J-18808-Ljbffr
📌 Senior Data Engineer with AWS Expertise (Winnipeg)
🏢 Quantum World Technologies
📍 Winnipeg
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