Job Title Data Engineer (AWS + Python)

Location PCS CA, Toronto

Years of Experience 7-10 Years

Job Summary

We are seeking a skilled Data Engineer with expertise in AWS and Python to build and maintain scalable data pipelines and cloud-based architectures. This role is pivotal in supporting business transformation by ensuring efficient data collection, processing, and availability for decision-making across the enterprise. The ideal candidate will work onsite with cross-functional teams to design robust data frameworks, automate workflows, and uphold data quality and governance.

Responsibilities

- Design, develop, and maintain scalable data pipelines and architectures on AWS.
- Automate data workflows using Python to enhance efficiency and reliability.
- Ensure data quality, governance, and compliance across all data processes.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Integrate Generative AI technologies to enhance data solutions and drive innovation.
- Monitor and optimize data systems for performance and scalability.




- Document data processes and frameworks for knowledge sharing and compliance.

Mandatory Skills
- Proven experience in Data Engineering with a strong focus on AWS services.
- Proficiency in Python for data manipulation and automation.
- Experience in building and maintaining data pipelines and ETL processes.
- Robust understanding of data quality and governance principles.

Preferred Skills

- Familiarity with Generative AI technologies and their application in data solutions.
- Experience with data visualization tools and techniques.
- Knowledge of SQL and NoSQL databases.
- Understanding of machine learning concepts and frameworks.

Qualifications

- Bachelor's degree in Computer Science, Engineering, or a related field.
- 7-10 years of experience in Data Engineering or a related role.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.

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