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Software Engineer Intern

Software Engineer Intern

cermati fintech group
Fresher
Early Applicant
  • Posted 4 days ago
  • Be among the first 10 applicants

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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