Mid-Level Data Engineer - Infomedia Nusantara

Infomedia Nusantara · 📍 Kebayoran Lama, Jakarta Raya · Diposting 2026-10-06

FULL_TIME⭐ TERVERIFIKASI

Rp 15000000 - Rp 25000000 per bulan

Infomedia Nusantara is seeking a Mid-Level Data Engineer to join our dynamic team in Kebayoran Lama, Jakarta Raya. In this role, you will design, build, and optimize scalable data pipelines to support our data-driven decision-making processes. You'll work with tools like Apache Airflow, Spark, and Kafka to ensure our data infrastructure is robust and efficient. This is a great opportunity to grow in a company that values innovation and data-driven strategies.

As a Mid-Level Data Engineer, you will be responsible for developing and maintaining data pipelines that process and analyze large volumes of data. You'll collaborate with cross-functional teams to ensure data integrity and availability. Our office in Kebayoran Lama offers a vibrant work environment with opportunities for professional development and growth.

📋 Tanggung Jawab Pekerjaan

Design, build, and optimize scalable data pipelines using tools like Apache Airflow, Spark, and Kafka.
Develop and maintain ETL processes to ensure data integrity and availability.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Monitor and maintain data infrastructure to ensure high availability and performance.
Optimize data storage and retrieval processes to improve efficiency.
Implement data security measures to protect sensitive information.
Conduct data quality checks and resolve any issues that arise.
Stay updated with the latest trends and technologies in data engineering.

🎓 Kualifikasi & Syarat

Bachelor's degree in Computer Science, Information Technology, or a related field.
3-5 years of experience in data engineering or a similar role.
Proficient in programming languages such as Python, Java, or Scala.
Experience with data processing frameworks like Apache Spark.
Knowledge of data warehousing concepts and tools like Apache Hive.
Understanding of data integration and ETL processes.
Experience with cloud platforms like AWS or Google Cloud.
Strong problem-solving and analytical skills.