Software Engineer Intern

Indodana

Jakarta Pusat

On-site

IDR 44,640,000 - 89,280,000

Full time

2 days ago
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Job summary

Indodana is seeking a motivated student or fresh graduate to join our data engineering initiatives. You will work closely with senior engineers to deliver small to mid-size projects, contribute to data pipelines, and help design scalable solutions using BigQuery, Airflow, and DBT.

You’ll participate in requirements discussions, write SQL, and gain experience with our data platform and cloud DevOps tools in a fast-paced fintech environment.

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 Airflow/Dagster and DBT Data Modelling experience
  • Nice to Have Python, Java, and NodeJS programming language experience
  • Nice to Have SQL queries and Data Warehouse experience (BigQuery preferred)
  • Nice to Have data visualization tools (Redash, Tableau, Looker; Redash preferred)
  • Nice to Have Cloud Platform experience (GCP, AWS)

Responsibilities

  • Work side-by-side with a mentor to help you accomplish team goals and grow.
  • Carry the execution of a small-medium size project according to its product domain.
  • Participate in requirements/specifications phase and help design solutions.
  • Contribute in building scripts, APIs, enhancing functionalities, and bug fixes for data engineering practices.
  • Collaborate with our in-house data platform and ML services: BigQuery, Cloud Dataflow, DBT, Airflow.
  • Engage with DevOps tooling (Kubernetes, Terraform, Grafana, Loki, Prometheus) on Google Cloud Platform.

Skills

Communication
Bilingual English/Bahasa
Creative
Collaborative

Education

Fresh graduate / final year student

Tools

Airflow
DBT
BigQuery
Kubernetes
Terraform
Redash

Job description

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)

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