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Senior Data Engineer



Data Science
Jakarta, Indonesia
Posted on Sunday, November 12, 2023

Roles and Responsibilities:

  • As part of the analytics team you will design, develop and implement data products and tools together for our business analysts and data scientists.
  • You will be responsible for the reliability, scalability, and usability of all of our all of our data elements, whether in databases or in raw form.
  • You will maintain and manage data storage, workflows and pipelines and work closely with our backend engineers to put these solutions into production.
  • Automate manual processes, optimize data delivery, re-design infrastructure for greater scalability
  • Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and other technologies.
  • You research new technologies and solutions in the realm of data analytics and data science that can increase the performance, reliability and quality of our data assets.
  • You will collaborate with internal teams (engineering, analytics, and operations) to bring our products from design to delivery

You should have:

  • Exceptional CAN-DO ATTITUDE
  • Bachelor’s degree in Engineering, Computer Science, or similar advanced degree
  • 3+ years working experience developing ETL solutions, data workflows, pipelines and products in
  • Python, R, Scala or equivalent
  • Familiarity with Test Driven Development
  • Solid communication skills (Bahasa Indonesia and English)
  • Attention to detail and high-quality standards
  • You are resourceful, flexible and self-motivated to explore new technologies to solve the problem at hand
  • Able to write basic to advanced SQL queries
  • Familiar with launching and managing in at least one of the major cloud services (AWS, GCP, Azure or AliCloud)

Nice-to-have experience in any of the following:

  • Knowledge about machine learning and the python data stack: Numpy, Pandas, Scipy, Scikit-learn etc.
  • Stream and batch processing
  • Familiar with other data technologies: e.g. Airflow, Spark, Elastic Search, Kafka, PubSub
  • Master’s Degree in Engineering or Computer Science