Lead Data Engineer

  • Full Time
Job expired!

Job Description

  • Lead and mentor junior engineers to develop their skills and enhance their careers
  • Understand and enhance the company's business with the assistance of your engineering team
  • Recruit and assist the company in finding new engineering talent
  • Responsible for managing and growing your team as well as handling your team members' promotions, demotions, recruitment, dismissals, etc.
  • Ensure that your team is content, motivated, and productive at Cermati Fintech Group
  • Work with your team to create features, preserve old code, improve and clean the code that your team is responsible for
  • Contribute to design decisions and conduct reviews of each other's codes
  • Ensure the availability of the code your team is responsible for on a 24/7 basis. Be ready to troubleshoot and maintain the services owned by your team.
  • Cooperate with the product manager to establish feature specifications and set target deadlines.
  • Guide the projects so you and your team can meet the deadline

Qualifications

  • Bachelor’s Degree (S1) in Computer Science or a related field. Alternatively, if you don't have a Bachelor's degree, demonstrate that you can code at the same level as other software engineers
  • Should have a minimum of 5+ years of experience in a data engineering/data architect/software engineering role.
  • Experience in leading, managing, and handling people in a team
  • Proven record of excellent mentorship and leadership in delivering high-quality projects
  • Strong practical experience in java, python is required. Applicants must have completed multiple projects with a significant hands-on contribution to each project.
  • Experience in Big data technologies: Hadoop ecosystem (map-reduce, spark, Kafka)
  • Experience in different storage technologies: OLTP like Postgres, OLAP like Redshift, Google BigQuery, NoSQL like Redis, HBase, Kafka
  • Familiarity with machine learning algorithms and concepts (gradient descent, logistic regression) and software libraries like pandas, TensorFlow, etc.
  • Fluent in English (both spoken and written).

Additional Information

  • Employees can work (Hybrid)