Data Engineer (ERP & Enterprise Systems Integration)

Join Lyman Investindo as a Data Engineer and play a pivotal role in transforming our ERP and enterprise systems integration. We are urgently seeking a skilled professional to design, build, and maintain scalable data pipelines that drive business intelligence and operational efficiency. In this role, you'll work closely with cross-functional teams to ensure seamless data flow across our systems, leveraging tools like Apache Kafka, Apache Spark, and SQL databases. This is your chance to shape the future of data-driven decision-making at Lyman Investindo in Jakarta Pusat.

As a Data Engineer at Lyman Investindo, you'll be responsible for developing and optimizing data infrastructure that supports our growing business needs. You'll work on integrating various enterprise systems, ensuring data consistency and reliability. This role offers a unique opportunity to work with cutting-edge technologies and contribute to the digital transformation of our operations.

📋 Tanggung Jawab Pekerjaan

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for ERP and enterprise systems integration.
• Build and optimize ETL/ELT processes using tools like Apache Kafka, Apache Spark, and SQL databases.
• Collaborate with cross-functional teams to ensure seamless data flow across systems.
• Monitor and troubleshoot data pipeline performance and reliability.
• Implement data quality checks and validation processes.
• Stay updated with the latest data engineering trends and best practices.
• Provide technical guidance and mentorship to junior team members.
• Participate in system integration projects and ensure timely delivery.

🎓 Kualifikasi & Syarat

Kualifikasi & Syarat:

• Bachelor's degree in Computer Science, Data Engineering, or related field.
• 3-5 years of experience in data engineering, with a strong background in ETL/ELT processes.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies like Apache Kafka, Apache Spark, and Hadoop.
• Knowledge of SQL databases and data warehousing concepts.
• Familiarity with cloud platforms like AWS or Google Cloud.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.

🛠️ Keahlian

Lowongan Terkait