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.

Requirements

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

Kubernetes

About Octopus Indonesia

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

Industry

Information Tecnology

Location

Jakarta Selatan, Indonesia

Company Size

1–50 employees

Innovative

We strive to constantly pursue innovation of our products and services

Open

Outstanding result stems from a free and welcoming enviroment

Fast-Paced

Swift in handling new challenges and producing new ideas to improve