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. If you thrive in a fast-paced environment and are eager to make a significant impact, we encourage you to apply.

Key Responsibilities:

- Design and Develop: Architect robust, scalable data pipelines using Python, with technologies like Airflow, PySpark, and PyFlink.
- Lead Best Practices: Promote data engineering best practices, focusing on code quality, testing, and deployment standards.
- Mentorship and Leadership: 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.
- Innovation: 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.

Qualifications:

- 5+ years of hands-on experience in Data Engineering with strong proficiency in Python (version 3.6+).
- 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.
- Proven ability to mentor and lead engineering teams in a collaborative environment.
- 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.

Preferred Qualifications:

- 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.

Interested? Apply now to join our dynamic team and make an impact.

#DataEngineering #Python #TechLeadership #Hiring #CloudEngineering #Airflow #PySpark #Kubernetes

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