AWS Data Engineer

Location: Toronto, ON

Work Model: Onsite (Hybrid)

Experience: 10+ Years

Job Summary

We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have solid hands-on experience with AWS, Python, PySpark, SQL, and ETL/data engineering .

Must-Have Skills
AWS
AWS Glue
PySpark / Apache Spark
Python
SQL
ETL / ELT
Data pipeline development
Amazon S3
AWS Lambda
AWS Step Functions
Data Warehousing
Data modeling
Experience with large-scale data processing

Responsibilities
Design and develop scalable data pipelines using AWS Glue, PySpark, Python, and SQL .
Build and maintain ETL/ELT workflows for enterprise data platforms.
Develop data processing solutions using Apache Spark/PySpark .
Integrate data from multiple structured and unstructured sources.
Develop serverless solutions using AWS Lambda and Step Functions .




Store and manage data using Amazon S3 and other AWS data services.
Optimize data pipelines for performance, reliability, and cost.
Implement data quality, validation, monitoring, and error-handling processes.
Work with data analysts, architects, developers, and business stakeholders.
Participate in code reviews, testing, deployment, and production support.

Required Qualifications
5+ years of experience in Data Engineering.
Solid hands-on experience with AWS Data Engineering services .
Strong experience with AWS Glue and PySpark .
Advanced SQL and Python skills.
Experience developing production-grade ETL/data pipelines.
Strong understanding of data warehousing and data modeling.
Experience working with large datasets and distributed processing.
Solid communication and problem-solving skills.

📌 Aws Data Engineer Toronto
🏢 Ku0026K Talents
📍 Toronto