• Lead a team of talented data engineers, providing mentorship, guidance, and support to drive team success and individual growth.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient data solutions.
• Design, develop, and maintain data pipelines and infrastructure, ensuring reliability, scalability, and performance.
• Implement best practices for data governance, security, and compliance to uphold data integrity and regulatory standards.
• Stay current with emerging technologies and industry trends, continuously enhancing our data engineering capabilities and practices.

What makes you a great fit:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7-13 years of overall work experience, with at least 6 years in data engineering roles.
• Minimum of 2 years of experience in a leadership or managerial capacity.
• Proficiency in Python, SQL, Spark, and Big Data Technologies (e.g., Hadoop, Kafka, etc.).
• Strong understanding of cloud platforms such as GCP, Azure, or AWS, with hands-on experience preferred.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels.
• Proven track record of delivering high-quality data solutions on time and within budget.