Data Engineer Team Lead (Database)

Must Haves:

• An engineering degree with a specialization in Computer Science or related
• Strong computer science fundamentals in data structures
• More than 5 years of hands-on experience, preferably in big data infrastructure
• More than 3 years managing a team of data engineers
• Solid understanding of database performance and scaling
• Deep understanding on best engineering and big data practices - include handling and logging errors, monitoring the system, building human-fault-tolerant pipelines, understanding how to scale up, addressing continuous integration, knowledge of database administration, maintaining data cleaning and ensuring a deterministic pipeline
• Possess excellent communication, sharp analytical abilities with proven design skills, able to think critically of the current system in terms of growth and stability
• Well versed in setting up continuous integration and deployment for big data or other projects
• Business-English fluency
• A “get-it-done" mindset

Nice to have:

• Reporting tools like PowerBI, Holistics
• Proficiency in common big data toolsets like Hadoop, Spark, Kafka, Presto in a large-scale environment
• Real passion for data, new data technologies, and discovering new and interesting solutions to the company’s data needs
• Highly proficient with Linux Systems Administration