Data Engineer

Job Description
  • Design, build, and maintain the company’s single source of truth (data lake, data warehouse, and data mart), dashboarding/reporting platforms, and/or any other data products.
  • Work closely with BI analysts and data scientists to implement a variety of descriptive and predictive analytic solutions.
  • Work closely with the product and engineering team to ensure the data ecosystem quality and accountability.
  • 2-3 years of experience as data engineer
  • A clean coder, strong programming and software engineering background (in Python is highly desired)
  • Highly proficient with a variety of data engineering tech-stacks (Airflow, Kafka, Beam)
  • Extensive exposure to any major cloud platforms (Google Cloud Platform is preferred, otherwise AWS, Azure, Ali Cloud)
  • Knowledge of real-time analytics, and/or data-infra is necessary, hands-on experience in any of them is very desirable (e.g. Docker, Kubernetes)
  • Good understanding of the basics of data pipeline, and experience in implementing data-lake/data-warehouse/data-mart, with most recent data tech-stacks.
  • Knowledge/experience in working with large scale applications, asynchronous architecture is a major plus
Skills Needed
Data Engineering
Google Cloud Platform
About Octopus Indonesia
Learn More

Octopus is a reverse-logistic startup that currently doing collection of post-consumer product through circular economy.

Information Tecnology
Jakarta Selatan, Indonesia
Company Size
1–50 employees


We strive to constantly pursue innovation of our products and services
Outstanding result stems from a free and welcoming enviroment
Swift in handling new challenges and producing new ideas to improve
🔥 Similar Jobs