Data Engineer (Credit) - Sea Labs
Sea Limited · Jakarta, Indonesia
Sekilas tentang pekerjaan ini
Sea Limited mencari Data Engineer (Credit) dengan pengalaman minimal 3 tahun untuk mengembangkan pipeline data dan Data Mart. Posisi ini berlokasi di Jakarta, Indonesia.
Tugas utama
- Mengembangkan dan memelihara pipeline fitur batch dan real-time menggunakan Spark/Flink.
- Merancang dan mengelola Data Marts, termasuk pemodelan data dan ETL.
- Menjaga kualitas, akurasi, dan keandalan pipeline data.
- Berkolaborasi dengan tim DS, policy, risk, dan bisnis terkait kebutuhan data.
Kualifikasi utama
- Pengalaman minimal 3 tahun di data engineering atau big data development.
- Menguasai SQL serta Python, Scala, atau Java.
- Pengalaman langsung menggunakan Spark/Flink untuk pemrosesan batch atau stream.
- Memahami data warehousing, dimensional modeling, dan pengembangan Data Mart.
- Mengenal Kafka, Hive, dan Airflow; pengalaman Feature Engineering atau Feature Stores diutamakan.
Ringkasan ini dibuat dengan AI dari deskripsi di bawah. Yang berlaku adalah deskripsi lengkapnya di situs Sea Limited.
Deskripsi pekerjaan
Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. Monee delivers a comprehensive range of digital financial products and services, including mobile wallets, payment processing, credit, banking, and insurtech.
At Monee, engineers work directly on our core business, product innovation, and infrastructure. We help turn proven capabilities into platforms that can scale, while also building new markets, products, and financial services from the ground up.
Our financial business operates across multiple markets at scale, bringing complex, real-world engineering challenges—from high-throughput systems and safeguarding funds to global architecture and regulatory compliance. It also creates ample room for engineering innovation in the age of AI. We’re looking for talented engineers with strong fundamentals, a passion for learning, and a curiosity about solving complex problems.
- Develop, optimize, and maintain batch and real-time feature pipelines using Spark/Flink.
- Design, build, and maintain business Data Marts, including data modeling, ETL development, and performance optimization.
- Ensure data quality, accuracy, and pipeline reliability, continuously improving data processing efficiency.
- Collaborate with DS, policy, risk and business teams to support feature engineering and data requirements.
Requirements
- 3+ years of experience in data engineering or big data development, with strong SQL and Python/Scala/Java skills.
- Hands-on experience with Spark/Flink for batch or stream processing.
- Solid understanding of data warehousing, dimensional modeling, and Data Mart development.
- Familiarity with big data technologies such as Kafka, Hive, and Airflow.
- Preferred Qualifications: Experience with Feature Engineering, Feature Stores, or data/feature platforms.