Data Engineer Infrastructure

6 days ago


Jakarta, Jakarta, Indonesia Kredit Pintar Full time 10,000,000 - 20,000,000 per year

Job Responsibilities

  • Design, develop, and maintain robust data platform infrastructure, databases, and data pipelines to ensure high performance and scalability.
  • Design, develop, and maintain Extract, Transform, Load (ETL) processes to facilitate data movement and transformation across various systems.
  • Ensure data availability, reliability, and scalability through best practices in data engineering and infrastructure management.
  • Collaborate with other teams, including software engineering, data science, and product management, to integrate and optimize data systems.
  • Build and maintain efficient, scalable, and stable data pipelines for large-scale data processing.
  • Understand the evolving needs and challenges of platform users and develop strong tools and platform features to address these needs.

Minimum Qualifications
Job Requirements:

  • 1-2 years of experience in data engineering or software development with a focus on data infrastructure.
  • Proficiency in Java, Scala, and Python.
  • Experience with version control systems like Git and build tools like Maven.
  • Containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with big data technologies such as Apache Flink, Kafka, Flume, Spark, and Apache Airflow.
  • Hands-on experience with relational and non-relational databases such as MySQL and MongoDB.
  • Experience in handling big data and data warehousing in cloud environments.
  • Strong problem-solving skills and the ability to manage multiple tasks and projects simultaneously.
  • Excellent communication and teamwork skills, with the ability to work collaboratively in a cross-functional environment.
  • Eagerness to learn new technologies and continuously improve technical skills.
  • Familiarity with DevOps practices and automation tools is preferable.


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