Lead Python Data Engineer

2 weeks ago

Mississauga, Ontario, Canada Presto Recruiting Solutions Full time
Now Hiring: Lead Python Data Engineer
We are seeking a highly skilled and passionate Lead Python Data Engineer to drive the development and maintenance of our advanced data infrastructure. In this leadership role, you will play a critical part in designing, building, and optimizing data pipelines that provide actionable insights across the organization.

As a key member of our data team, you will have the opportunity to mentor engineers , collaborate with cross-functional stakeholders, and implement scalable, efficient data solutions . Architect robust, scalable data pipelines using Python , with technologies like Airflow , PySpark , and PyFlink .
Promote data engineering best practices, focusing on code quality, testing, and deployment standards.
Guide and support a team of data engineers, fostering a collaborative and high-performance culture.
Cross-functional Collaboration: Work closely with Data Scientists, Analysts, and business stakeholders to translate complex business requirements into efficient data solutions.
Continuously research and implement new technologies to enhance the efficiency and scalability of our data platform.
Cloud Deployment: Manage the deployment and monitoring of data pipelines on cloud platforms such as OpenShift , ECS , or Kubernetes .

5+ years of hands-on experience in Data Engineering with strong proficiency in Python (version 3.Extensive experience with SQLAlchemy or similar ORM libraries and writing complex SQL queries.
~ Expertise with Airflow or similar workflow management tools (experience with PySpark or PyFlink is a plus).
~ Solid understanding of data warehousing concepts and experience with large datasets.
~ Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
~ Experience deploying and managing applications on OpenShift , ECS , or Kubernetes .

Bachelor's or Master's degree in Computer Science , Engineering , or a related field.
Experience with data visualization tools and techniques.
Familiarity with agile development methodologies.
Contributions to open-source projects or active participation in the data engineering community.

This is an opportunity to lead critical data initiatives in an organization that values innovation and data-driven decision-making. Your contributions will directly influence strategic outcomes and help shape the future of our data platform.
DataEngineering #Python #TechLeadership #Hiring #CloudEngineering #Airflow #PySpark #Kubernetes

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