Software Engineer Intern

Indodana; Jakarta Pusat; On-site; IDR 55,800,000 - 100,440,000; Part time

Job summary

Indodana invites motivated students and new graduates to join as a data engineering internship in Jakarta. You will work closely with mentors to execute small to mid-sized projects aligned with product goals while learning from a high-performance team.

You will gain exposure to in-house data platforms, ML services, and modern DevOps tools such as BigQuery, Airflow, Kubernetes, and Terraform on GCP, developing practical skills in data engineering and cloud operations.

Qualifications

• Third year or Final year student or fresh graduate in Information Systems, Computer Science, Information Technology, Informatics Engineering, or related major.
• Passionate about the Fintech Industry.
• Able to communicate in Bahasa & English language
• Self-motivated, creative and collaborative.
• Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
• [Nice To Have] experience on Airflow/Dagster and DBT Data Modelling
• [Nice To Have] experience on Python, Java, and NodeJS Programming Language
• [Nice To Have] experience on writing SQL Queries and Data Warehouse (e.g.: BigQuery, Redshift, Clickhose, Snowflake, etc), Preferably BigQuery
• [Nice To Have] experience with data visualization tool (e.g.: Redash, Tableau, Looker). Preferably Redash
• [Nice To Have] experience on Cloud Platform (e.g.: GCP, AWS, and so on)

Responsibilities

• Work side-by-side with a mentor to help you accomplish team goals and grow together as a person
• Carry the execution of a small-medium size project that is given by PM / Lead Software Engineer according to its product domain
• Work side-by-side in a high performance team by occasionally participate in the requirement / specification phase and help to design solution of a problem or system implementation together
• Contribute in building various scripts, API, enhancing functionalities, and bug-fixing required to improve our data engineering best practice and services
• Working with our in-house data platform and machine learning services: BigQuery, Cloud Dataflow, DBT, and Airflow
• Working with our in-house cutting-edge & advance DevOps tooling (Kubernetes, Terraform, Grafana, Loki, Prometheus, on top of Google Cloud Platform)

Skills

Self-motivated

Creative

Collaborative

Strong communication

Education

Third year or Final year student or fresh graduate in Information Systems, Computer Science, Information Technology, Informatics Engineering, or related major

Tools

Airflow

DBT

BigQuery

Dataflow

Kubernetes

Terraform

Grafana

Loki

Prometheus

Google Cloud Platform

Python

Java

NodeJS

SQL

Job description

• Work side-by-side with a mentor(Senior Software Engineer/Lead Software Engineer / Engineering Manager) to help you accomplish team goals and grow together as a person
• Carry the execution of a small-medium size project that is given by PM / Lead Software Engineer according to its product domain
• Work side-by-side in a high performance team by occasionally participate in the requirement / specification phase and help to design solution of a problem or system implementation together
• Contribute in building various scripts, API, enhancing functionalities, and bug-fixing required to improve our data engineering best practice and services
• Working with our in-house data platform and machine learning services : BigQuery, Cloud Dataflow, DBT, and Airflow
• Working with our in-house cutting-edge & advance DevOps tooling (Kubernetes, Terraform, Grafana, Loki, Prometheus, on top of Google Cloud Platform)

Job Description

• Work side-by-side with a mentor(Senior Software Engineer/Lead Software Engineer / Engineering Manager) to help you accomplish team goals and grow together as a person
• Carry the execution of a small-medium size project that is given by PM / Lead Software Engineer according to its product domain
• Work side-by-side in a high performance team by occasionally participate in the requirement / specification phase and help to design solution of a problem or system implementation together
• Contribute in building various scripts, API, enhancing functionalities, and bug-fixing required to improve our data engineering best practice and services
• Working with our in-house data platform and machine learning services : BigQuery, Cloud Dataflow, DBT, and Airflow
• Working with our in-house cutting-edge & advance DevOps tooling (Kubernetes, Terraform, Grafana, Loki, Prometheus, on top of Google Cloud Platform)

Qualifications

• Third year or Final year student or fresh graduate from Information Systems, Computer Science, Information Technology, Informatics Engineering, or other related major
• Passionate about the Fintech Industry.
• Able to communicate in Bahasa & English language
• Self-motivated, creative and collaborative;
• Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
• [Nice To Have] experience on Airflow/Dagster and DBT Data Modelling
• [Nice To Have] experience on Python, Java, and NodeJS Programming Language
• [Nice To Have] experience on writing SQL Queries and Data Warehouse (e.g.: BigQuery, Redshift, Clickhose, Snowflake, etc), Preferably BigQuery
• [Nice To Have] experience with data visualization tool (e.g.: Redash, Tableau, Looker). Preferably Redash
• [Nice To Have] experience on Cloud Platform (e.g.: GCP, AWS, and so on)