Lowongan Kerja Data Engineer tiket.com Terbaru di Jakarta

Info Terbaru Lowongan Kerja Data Engineer Jakarta Juli 2026 di tiket.com. Selamat Siang bagi kawan-kawan yang sedang membutuhkan pekerjaan. Semoga tidak putus asa untuk mencari pekerjaan yang pas dengan ijazah Anda. Memang terkadang mencari pekerjaan yang pas sangatlah tidak gampang di tahun 2026 ini. Pada kesempatan ini admin akan memberikan informasi Lowongan Kerja Data Engineer Jakarta Juli 2026 di tiket.com. Berikut ini informasi lebih lengkap mengenai Lowongan Kerja Data Engineer Jakarta Juli 2026 tiket.com.

Lowongan Kerja Data Engineer Jakarta Juli 2026 tiket.com

Berikut ini adalah ketentuan yang harus Anda penuhi untuk melamar Lowongan Kerja Data Engineer Jakarta Juli 2026 tiket.com yang dibuka pada 29 Mei 2024 ini:

#LI-Hybrid
As a data engineer, you will implement methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats. Data engineers will also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Data engineers are also responsible for building algorithms to help give easier access to raw data, but to do this, they need to understand company’s. It’s important to have business goals in line when working with data, especially for companies that handle large and complex datasets and databases.

Your main duties in flying with us:

• Responsible for managing, optimizing, overseeing and monitoring data retrieval, storage and distribution throughout the organization
• Develop and monitor the data loading process
• Develop tools for data integration or support business needs
• Develop a deployment system between the environment
• Develop an automation system

Mandatory belongings that you must prepare:

• At the minimum have 3 years of experience in data engineering
• Advance in SQL Script
• Advance in Python Script
• Familiar to use Bash Script
• Able to use Linux Command
• Have knowledge of big data stack (Hadoop, Spark, Hive, Kafka)

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