Data Engineer
Apply with your own terms
We are looking for a talented Data Engineer to join our innovative team. This role requires expertise in PySpark, Databricks, and Apache Airflow. You will be responsible for designing, building, and optimizing data pipelines. Your communication skills will be essential as you collaborate with Data Scientists, Analysts, and Product Managers. This hybrid role allows you to work on-site in Toronto, ON three days a week and remotely for the rest.
Key Responsibilities:
- Develop and maintain data processing pipelines using PySpark and Databricks.
- Manage workflows using Apache Airflow.
- Optimize ETL processes.
- Collaborate with stakeholders to deliver solutions.
- Ensure data compliance and write well-documented code.
Required Qualifications:
- Bachelor's or Master's in a relevant field.
- 7+ years in data engineering.
- Expertise in PySpark and Apache Spark.
- Experience with Databricks and Apache Airflow.
- Proficiency in SQL and cloud platforms.
Join us if you are ready to tackle complex data challenges and drive innovation!
Join our dynamic team as a Data Engineer! If you're skilled in PySpark, Databricks, and Apache Airflow, this is a fantastic opportunity to work in a hybrid setting. Enhance your career in a role that encourages collaboration and innovation. We offer the chance to design and optimize data pipelines while working closely with experts in data science and analysis. ?
Job offer are open to all, without discrimination and in gender equality.
Throughout the website, gender-specific terms may be used in order to ease the text flow.
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