Responsibilities

• Lead a team focused on developing scalable data solutions for cloud and Kubernetes environments.
• Hire, coach, and mentor team members, fostering a culture of collaboration and excellence.
• Provide constructive feedback and lead by example to enhance team performance.
• Contribute directly to coding efforts when required, showcasing strong engineering skills.
• Set and manage expectations with other engineering teams to ensure alignment on project goals.
• Drive the development of fault-tolerant distributed systems that meet enterprise needs.
• Stay updated with industry trends and best practices related to big data and database management.

Requirements

• Proven experience in a technical leadership role, managing engineering teams.
• Strong understanding of data technologies including big data, NoSQL, and SQL databases such as Postgres and MySQL.
• Proficiency in programming languages, particularly Python.
• Experience with cloud infrastructure and container orchestration, specifically Kubernetes.
• Excellent communication skills and ability to work collaboratively across teams.
• Strong problem-solving skills and a passion for developing innovative data solutions.
• Ability to manage multiple priorities in a fast-paced environment.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working hours with the opportunity to work remotely.
• Comprehensive health and wellness benefits.
• Professional development opportunities and career growth support.
• Access to the latest tools and technologies in data engineering.
• A collaborative and inclusive company culture that values diversity.
• Work with a talented team dedicated to building the best data platform in the industry.