Info Loker: Data Engineer (PH)

Company: Coins.ph

Location: Indonesia | Type: Remote

## Panduan Melamar
Data Engineer (PH)

This applicant-friendly version notes that join the Pioneer Crypto Brand in the Philippines!Coins is the most established crypto brand in The Philippines and has gained the trust of more than 18 million users.

Through the simple-to-use mobile app, users can buy and sell a variety of different cryptocurrencies and access a wide range of financial services.Coins is fully regulated by the Bangko Sentral ng Pilipinas (BSP) and is the first ever crypto-based company in Asia to hold both Virtual Currency and Electronic Money Issuer licenses from a central bank.

Responsibilities : 1.

Design, develop, and maintain highly scalable, reliable, and efficient data processing systems with a strong emphasis on code quality and performance. 2.

For job seekers, collaborate closely with data analysts, software developers, and business stakeholders to deeply understand data

## Tanya Jawab
### Apa yang harus diperiksa sebelum mengirim lamaran?
Informasi lowongan dapat berubah, jadi pengecekan ulang dari tautan resmi tetap disarankan.

### Apakah lokasi kerja perlu diperhatikan?
Informasi lowongan dapat berubah, jadi pengecekan ulang dari tautan resmi tetap disarankan.

### Apakah pengalaman kerja wajib?
Informasi lowongan dapat berubah, jadi pengecekan ulang dari tautan resmi tetap disarankan.

## Tips Membantu
- Pelajari profil perusahaan sebelum wawancara.
- Siapkan contoh pengalaman kerja yang relevan.
- Sesuaikan CV dengan keahlian yang diminta.
- Melamar hanya melalui kanal resmi.
- Pastikan file CV mudah dibuka.

## Catatan Karier
Untuk peluang seperti Data Engineer (PH), pelamar sebaiknya tetap mengecek sumber resmi sebelum mengirim lamaran.
## Info Loker Terbaru
Data Engineer (PH)

requirements and architect robust solutions to address their needs. 3.

This applicant-friendly version notes that focus on the development and maintenance of ETL pipelines, ensuring seamless extraction, transformation, and loading of data from diverse sources into our data warehouse based on Data-bricks platform. 4.

This applicant-friendly version notes that spearhead the development and maintenance of real-time data processing systems utilizing cutting-edge big data technologies such as Spark Streaming and Kafka. 5.

From a career perspective, establish and enforce rigorous data quality and validation checks to uphold the accuracy and consistency of our data assets. 6.

From a hiring update angle, act as a point of contact for troubleshooting and resolving complex data processing issues, collaborating with cross-functional teams as necessary to ensure timely resolution. 7.

This applicant-friendly version notes that proactively monitor and optimize data processing systems to uphold peak performance, scalability, and reliability standards, leveraging advanced AWS operational knowledge. 8.

From a career perspective, utilize AWS services such as EC2, S3, Glue and Data-bricks to architect, deploy, and manage data processing infrastructure in the cloud. 9.

Implement robust security measures and access controls to safeguard sensitive data assets within the AWS environment. 10.

Stay abreast of the latest advancements in AWS technologies and best practices, incorporating new tools and services to continually improve our data processing capabilities.

Requirements : 1.

Bachelor’s or Master’s degree in Computer Science or a related field. 2.

From a hiring update angle, minimum of 5 years of hands-on experience as a Data Engineer, demonstrating a proven track record of designing and implementing sophisticated data processing systems. 4.

Good understanding of Data-bricks platform and Delta Lake.

Familiar with data role scheduler tool such as Dagster. 5.

From a hiring update angle, proficiency in one or more programming languages such as Scala, Java, or Python. 6.

Deep expertise in big data technologies including Apache Spark for ETL processing and optimization. 7.

From a career perspective, proficient in utilizing BI tools such as Metabase for data visualization and analysis. 8.

Advanced understanding of data modeling, data quality, and data governance best practices. 9.

## Tanya Jawab
### Apakah pelamar baru bisa mencoba posisi ini?
Detailnya perlu dicek dari sumber resmi, tetapi Data Engineer (PH) bisa menjadi referensi awal sebelum pelamar mengirim lamaran.

### Apa yang perlu disiapkan sebelum melamar?
Pelamar sebaiknya membaca persyaratan, lokasi, tipe kerja, dan instruksi aplikasi pada sumber asli.

### Bagaimana cara memastikan lowongan masih aktif?
Pelamar sebaiknya membaca persyaratan, lokasi, tipe kerja, dan instruksi aplikasi pada sumber asli.

## Tips Membantu
- Periksa kembali dokumen sebelum dikirim.
- Baca deskripsi lowongan dengan teliti.
- Cek lokasi, tipe kerja, dan jadwal kerja.

## Catatan Karier
Sebelum melamar Data Engineer (PH), pastikan CV, kontak, dan dokumen pendukung sudah siap.

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