Data Engineer

Internship·Jakarta Selatan, Indonesia
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Date Opened
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Department
Data
Job Function
Data & Analytics
Job Level
Internship

Description

Mars Indonesia Digital (MID) is a digital transformation company in Indonesia that focuses on bringing the value of data to the enterprise. Our capabilities include digital transformation, data science and analytics consulting, data monetization, and digital-based research.

Expected Starting Date: 08 June 2020


Responsibilities

• Design, develop, test, and maintain data infrastructure in Google Cloud Platform

• Develop custom ETL (Extract Transfrom Load) jobs

• Ensure ingested data is queryable for our data analyst and other teams

• Collaborate with multiple stakeholders to fulfil their need

• Explore new technologies to improve current data stacks

Requirement

Minimum Requirements:


• Experience with multiple programming languages, especially Python


• Experience using API and direct connection to a database


Preferred Qualifications:


• Graduates or students of Computer Science, Electrical/Computer Engineering, Informatics, or Mathematics/Statistics or other related fields is a plus


• Experience with relational SQL, NoSQL, and Query Job


• Experience with cloud services such as Google Cloud Platform


• Experience using Machine Learning methods


Only shortlisted candidates will be contacted.


About Organization

Data has been the most valuable asset in the digital world. We will help you to transform and become a data-driven company. 


Mars Indonesia Digital (MID) is a new entity of MARS Indonesia, a Research Company, established in 1992 which provides a wide range of research services on marketing.


Start from 2017, we extend our services and become a Digital Transformation Expert that focus on bringing company to become digital leader on People, Data & Technology.

Organization Culture

Vision

To help company transform and become data-driven.


Mission

Our Mission is to provide Research-Based Solutions with scientific methodology which produces accurate and reliable data, information, and knowledges.

Organization Benefits

Competitive package of remuneration.

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