Overview
Skills
Job Details
Job Title: ETL AWS Glue Data Engineer
Location: Toronto, ON (Hybrid)
Duration / Term: Long-Term Contract
Job Description
We are seeking an experienced and detail-oriented ETL AWS Glue Data Engineer to design, develop, and optimize robust data pipelines using AWS Glue. The ideal candidate will have a strong background in ETL processes, data modeling, and cloud-native data engineering, with hands-on experience in AWS Glue Studio, Glue DataBrew, and related AWS services.
Key Responsibilities
- Design and maintain ETL pipelines using AWS Glue to ingest, transform, and load data from diverse sources
- Optimize data workflows for performance, scalability, and reliability
- Collaborate with data analysts, data scientists, and business stakeholders to gather and translate data requirements
- Monitor and troubleshoot ETL jobs, ensuring timely resolution of issues
- Document ETL processes and provide training or knowledge transfer to team members
- Stay updated on industry best practices and emerging trends in cloud data engineering
Qualifications
- Bachelor s degree in Computer Science, Information Technology, or a related field (or equivalent experience)
- Proven experience as an ETL Specialist or Data Engineer, with a focus on AWS Glue
- Strong understanding of ETL frameworks, data modeling, and data warehousing concepts
- Hands-on experience with AWS Glue Studio, Glue DataBrew, and Glue ETL jobs
- Familiarity with AWS services such as S3, Redshift, Lambda, and Athena
- Proficiency in Python, PySpark, and SQL is a strong plus
- Excellent problem-solving, communication, and team collaboration skills
Key Skills
ETL, AWS Glue, Glue Studio, Glue DataBrew, Data Engineering, Data Pipelines, Data Modeling, Data Warehousing, AWS S3, Redshift, Lambda, Athena, Python, PySpark, SQL, Cloud Data Engineering, Troubleshooting, Documentation, Stakeholder Collaboration
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