Software Engineer Intern - Data, Cloud & DevOps

PT Dwi Cermat Indonesia; Jakarta Pusat; On-site; IDR 55,800,000 - 78,120,000; Full time

Job summary

PT Dwi Cermat Indonesia is seeking a motivated intern/fresh graduate to work closely with a mentor (Senior Software Engineer/Lead Software Engineer / Engineering Manager) to help you accomplish team goals and grow together as a person. You will carry out a small-medium sized project within your product domain, and participate in requirement and design discussions.

You will contribute to building scripts, APIs, and enhancements while learning our in-house data platform and ML services such as

Qualifications

• Currently in third year or final year or a fresh graduate in a related field.
• Strong interest in Fintech industry and data engineering.
• Ability to communicate in Bahasa and English.

Responsibilities

• Work side-by-side with a mentor to help achieve team goals and grow.
• Carry the execution of a small-medium sized project in the product domain.
• Participate in requirement/specification phases and design solutions.
• Build scripts, APIs, and fix bugs to improve data engineering practices.
• Collaborate with the in-house data platform and ML services (BigQuery, Airflow, DBT).
• Engage with DevOps tooling concepts and GCP-based workflows.

Skills

Excellent communication skills

Self-motivated

Collaborative

Able to explain complex problems

Strong problem solving

Fluent in Bahasa and English

Fast learner

Education

Student in final year or fresh graduate

Tools

Airflow

Dagster

DBT

BigQuery

Redash

Tableau

Looker

Python

Java

NodeJS

Job description

PT Dwi Cermat Indonesia is seeking a motivated intern/fresh graduate to work closely with a mentor (Senior Software Engineer/Lead Software Engineer / Engineering Manager) to help you accomplish team goals and grow together as a person. You will carry out a small-medium sized project within your product domain, and participate in requirement and design discussions.

You will contribute to building scripts, APIs, and enhancements while learning our in-house data platform and ML services such as