[Data Engineer Opportunity]

Loc: South Jakarta

Type: Contract (12 month - extendable)

Arrangement: On site

Industry: Fintech

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.

Qualifications:

Min. 3 years of experience in data engineering and 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.