Data Engineer Manager
Hangry · Jakarta Barat, Indonesia
Sekilas tentang pekerjaan ini
Di Hangry, Data Engineer Manager bertanggung jawab merancang arsitektur data, mengembangkan sistem dan pipeline, serta meningkatkan efisiensi engineering. Posisi ini berlokasi di Jakarta Barat dan ditujukan bagi kandidat dengan minimal 3 tahun pengalaman di data engineering atau bidang terkait.
Tugas utama
- Merancang dan mengoptimalkan arsitektur data yang skalabel dan hemat biaya
- Mengembangkan serta memelihara pipeline data, sistem real-time, dan platform analitik
- Membangun kerangka kerja dan otomatisasi untuk mengurangi pekerjaan berulang
- Menangani masalah produksi kompleks dan menerapkan perbaikan jangka panjang
- Meninjau desain dan kode serta berkolaborasi dengan pemangku kepentingan
Kualifikasi utama
- Sarjana Ilmu Komputer, Teknik, Data Science, atau bidang terkait
- Minimal 3 tahun pengalaman di data engineering atau peran terkait
- Berpengalaman membangun dan mengoperasikan sistem data skala produksi
- Pengalaman langsung dengan pipeline data, data warehouse/lake, dan cloud
- Memahami pemrosesan data batch dan streaming
Ringkasan ini dibuat dengan AI dari deskripsi di bawah. Yang berlaku adalah deskripsi lengkapnya di situs Hangry.
Deskripsi pekerjaan
Design and optimize scalable, cost-efficient end-to-end data architectures.
Improve data delivery speed and engineering efficiency year over year.
Build reusable frameworks, templates, and automation to reduce repetitive work.
Develop and maintain reliable data pipelines, real-time systems, and analytics platforms.
Deliver production-ready solutions under tight timelines without compromising quality.
Resolve complex production issues independently and implement long-term fixes.
Evaluate new tools, frameworks, and architectures with clear cost–benefit analysis.
Proactively reduce technical debt and prevent recurring scalability issues.
Make and communicate technical trade-offs (e.g., batch vs. streaming, build vs. buy).
Apply advanced data or analytics concepts in production systems.
Act as a technical authority through code reviews, design reviews, and best practices.
Collaborate with stakeholders and translate technical decisions into business impact.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
Minimum 3 years of experience in data engineering or related roles.
Strong experience building and operating production-scale data systems.
Hands-on experience with data pipelines, data warehouses/lakes, and cloud platforms.
Solid understanding of batch and streaming data processing.
Experience supporting analytics, machine learning, or AI data workflows.
Strong problem-solving skills in complex production environments.
Strong judgment in balancing speed, quality, cost, and scalability.
Clear communication skills with both technical and non-technical stakeholders.