Deskripsi Pekerjaan
Informasi lengkap tentang posisi dan persyaratan
Ringkasan Yukerja
Lowongan Data Engineer di Bumi Amartha Teknologi Mandiri kami kurasi dari JobStreet (kategori Teknologi & IT). Perhatikan lokasi kerja (Kemayoran, Jakarta) sebelum melamar. Yukerja.com bukan pemberi kerja — lamaran diproses di situs sumber resmi.
- Design, develop, and maintain scalable data pipelines using Python and PySpark/Apache Spark.
- Build, optimize, and manage ETL/ELT workflows to support data integration and transformation processes.
- Write efficient SQL queries and implement data transformation logic to prepare data for analytics and business reporting.
- Develop and manage cloud-based data solutions on Google Cloud Platform (GCP) and/or Amazon Web Services (AWS).
- Design and maintain reliable, scalable, and high-performance data processing workflows.
- Implement and maintain data lakehouse architectures to support modern analytics and data engineering use cases.
- Collaborate with data analysts, data scientists, and software engineers to deliver high-quality data solutions.
- Ensure data quality, integrity, and consistency across data pipelines and storage systems.
- Use Git or other version control systems to manage source code, collaborate with team members, and support CI/CD workflows.
- Monitor, troubleshoot, and optimize data pipelines to ensure reliability, performance, and scalability.
- Follow data engineering best practices for coding, testing, documentation, and deployment.
- Stay updated with emerging cloud data technologies and contribute to continuous improvement initiatives.
- Minimun 2 years experiences in related field
- Proficiency in Python programming.
- Hands-on experience with PySpark / Apache Spark.
- Strong SQL skills and understanding of data transformation techniques.
- Experience working with Google Cloud Platform (GCP) and/or Amazon Web Services (AWS).
- Good understanding of ETL/ELT concepts and data pipeline development.
- Experience with Git or other version control systems.
- Familiarity with data lakehouse architecture and modern data platforms.
- Strong analytical and problem-solving skills.
- Good communication and collaboration abilities.