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Lead Data Engineer Jobs

Company

cermati.com
Address Area DKI Jakarta, Indonesia
Employment type FULL_TIME
Salary
Category Teknologi, Informasi, dan Internet
Expires 2023-09-29
Posted at 8 months ago
Job Description

  • Drive the projects so you can meet the deadline with your team
  • Ensure that your team is happy, motivated, and productive at Cermati Fintech Group
  • Responsible for managing, and growing your team as well as your team member's promotions, demotions, hiring, firing, etc.
  • Contribute to design decisions and review each other's code
  • Work with your team to build features, maintain old code, improve and clean the code that your team owns
  • Hire and help the company find new engineering talent
  • Lead and mentor junior engineers to develop their skills and grow their careers
  • Understand and improve company business with the help of your engineering team
  • Make sure the code that your team owns will be available 24/7 and you're willing to troubleshoot and maintain the services that your team owns
  • Work together with product manager to set the feature specs and set the target deadline.
Qualifications
  • Had as lead, managing and handling people in a team
  • Proven record of good mentorship and leadership in delivering high quality projects
  • Strong hands-on experience in java, python is required. Must have shipped multiple projects with a major hands-on contribution to each project.
  • Should have a minimum of 5+ yrs of experience in a data engineering / data architect / software engineering role.
  • Fluent in English (both spoken and written).
  • Experience in Big data technologies: Hadoop ecosystem (map-reduce, spark, Kafka)
  • Bachelor’s Degree (S1) in Computer Science or related field. Or if you don't have a Bachelor's degree, prove to us that you can code at the same level as other software engineer
  • 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.