Japfa Comfeed Indonesiamembuka lowonganData Engineer
PT Japfa Comfeed Indonesia, Tbk adalah salah satu perusahaan agri-food terbesar dan terkemuka di tanah air. Kami adalah penghasil protein hewani berkualitas dan terpercaya, yang dengan setia melayani kebutuhan serta menjadi kebanggaan Indonesia sejak tahun 1975.
Ringkasan
- Perusahaan :
- Japfa Comfeed Indonesia
- Situs :
- https://www.japfacomfeed.co.id/
- Industri :
- Agri-Food
- Kategori :
- IT Programmer
- Status Pekerjaan :
- Full Time
- Pola Kerja :
- OnSite
- Jam Kerja :
- 40 Jam/Minggu
- Perolehan Gaji :
- Negotiable
- Pengalaman :
- 1 Tahun Pengalaman
- Lokasi Kerja :
- Jakarta Selatan
- Tanggal Berakhir :
- 17 October 2025
Deskripsi Pekerjaan
Key Responsibilities
1. Design, build, and maintain scalable and reliable data pipelines.
2. Integrate data from various sources, including APIs, relational databases, and NoSQL databases.
3. Ensure data availability and quality across data warehouse, data lake, and lakehouse environments.
4. Optimize ETL/ELT processes and data pipelines for maximum performance and efficiency.
5. Ensure data replication processes between systems or environments run correctly and efficiently.
6. Collaborate with data analysts and data scientists to deliver clean, usable data and actionable insights.
7. Communicate effectively with principals and external stakeholders in English, particularly for system integration, troubleshooting, and technical documentation.
8. Maintain data security and ensure compliance with company policies and standards.
Qualifications
1. Proven experience as a Data Engineer, Data Analyst, or in a related role.
2. Proficient in both spoken and written English (required for communication with international partners).
3. Strong understanding of APIs (REST, SOAP, or GraphQL).
4. Proficient in SQL and at least one programming language, preferably Python.
5. Solid knowledge of relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis).
6. Familiar with Big Data concepts and tools such as Hadoop, Spark, or Kafka.
7. Experience with cloud platforms (AWS, GCP, Azure), particularly in data-related services such as BigQuery, Redshift, or Snowflake.
8. Understanding of data warehouse, data lake, and lakehouse architectures.
9. Experience managing or monitoring data replication between systems or environments.
10. Capable of performing data maintenance, optimization, and profiling.
11. Experience with data integration tools (e.g., IBM, Informatica, Qlik Replicate, etc).
...
6 Benefit Pekerjaan
Kirim Lamaran
- Via URL :
Peluang diterima pada lowongan kerja Data Engineer masih terbuka untukmu! Baru 11 orang yang mengunjungi link lamaran diatas. Ayok cepat kirim lamarannya sebelum ditutup pada tanggal 17 October 2025!
