[DID] Data Engineer Intern

Jakarta Selatan, DKI Jakarta, Indonesia (Hybrid)

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DANA

Mulai transaksi mudah dan aman dengan DANA, dompet digital terbaik untuk kebutuhan sehari-hari. Kirim uang, bayar QRIS, dan nikmati kemudahan transaksi lewat DANA. Terdaftar & diawasi oleh Bank Indonesia dan KOMINFO

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About DANA

DANA is a leading Indonesian digital wallet platform committed to making every transaction simple, secure, and accessible. As a homegrown fintech company, we serve millions across Indonesia with cashless solutions—from payments and transfers to investments. We aim to build a trusted and inclusive financial ecosystem, driven by innovation, collaboration, and continuous learning.

Join us and be part of Indonesia’s digital transformation journey!


📌 What We’re Looking For: Data Engineer Intern

What You Will Do : 

  • Collaborate with our data engineering team to design and develop data pipelines.
  • Assist in the extraction, transformation, and loading (ETL) of data from various sources.
  • Work with SQL, NoSQL databases to store and manage data efficiently.
  • Use big data technologies like Apache Hive, Spark, Airflow, and cloud big data platform.
  • Operate Apache Airflow for orchestrating and scheduling large-scale data workflows.
  • Support data modeling efforts to ensure data quality and usability.
  • Contribute to the development of data warehousing solutions.
  • Explore data stack cloud computing platforms.
  • Troubleshoot and optimize data pipelines for performance.
  • Collaborate with cross-functional teams on data projects.

 

What You Will Need :

  • Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related field.
  • Basic programming skills in languages like Python, Scala, or Golang.
  • Basic knowledge of SQL and databases.
  • Ability to operate Linux commands.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) would be great.
  • Eagerness to learn and adapt to new technologies and tools.
  • Excellent problem-solving and critical-thinking abilities.
  • Effective communication and teamwork skills.
  • Detail-oriented with a commitment to data accuracy.
  • Self-motivated and able to work independently.
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Category: Engineering Jobs

Tags: Airflow Big Data Computer Science Data pipelines Data quality Data Warehousing Docker Engineering ETL FinTech Golang Kubernetes Linux NoSQL Pipelines Python Scala Spark SQL

Perks/benefits: Career development

Region: Asia/Pacific
Country: Indonesia

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