Python Data Engineer

Description :

Python Data Engineer

Location : Remote - Canada

Job Type : Full-time

Experience Level : MidSenior

Industry : Data

About the Role :

We are looking for a detail-oriented and driven Python Data Engineer to design, build, and optimize scalable ETL pipelines and modern data warehouses. You will play a key role in transforming raw data into reliable, actionable insights that power business decisions. This role is ideal for someone who thrives in remote, asynchronous environments and enjoys owning data systems end-to-end.

Key Responsibilities :

- Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data

- Build and manage scalable data warehouses and data models

- Integrate data from multiple sources and ensure accuracy and reliability

- Optimize data workflows for performance, scalability, and cost efficiency

- Collaborate with analytics, product, and engineering teams to define data requirements

- Implement monitoring, logging, and data quality checks

- Maintain documentation and best practices for data infrastructure

- Take ownership of projects and deliver independently in a remote setup

Required Skills & Qualifications :

- 2-3 years of professional experience in data engineering or similar roles

- Strong proficiency in Python for data processing and automation

- Experience building ETL/ELT pipelines and data warehouses

- Familiarity with modern data tools and frameworks

- Good understanding of SQL and database systems

- Experience working in remote or asynchronous teams

- Strong problem-solving and analytical skills

- Clear and effective communication skills in English

- Ability to take ownership and deliver results independently

Nice to Have :

- Experience with tools like Airflow, dbt, Spark, or similar

- Knowledge of cloud data platforms (AWS/GCP/Azure)

- Experience with data lakes or big data technologies

- Understanding of CI/CD for data workflows

- Exposure to BI/analytics tools