- 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 & advanced 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 team-oriented.
- Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives.
- [Preferable] Expertise and experience on Airflow/Dagster and DBT Data Modelling.
- [Preferable] Expertise and experience on Python, Java, and NodeJS Programming Language.
- [Preferable] Expertise and experience on writing SQL Queries and Data Warehouse (e.g.: BigQuery, Redshift, Clickhouse, Snowflake, etc), Preferably BigQuery.
- [Preferable] Expertise and experience with data visualization tool (e.g.: Redash, Tableau, Looker). Preferably Redash.
- [Preferable] Expertise on Cloud Platform (e.g.: GCP, AWS, and so on).

📌 Software Engineer Intern (India)
🏢 Indodana
📍 India