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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Data Engineer

Coforge
Makati City, Metro Manila
Estimasi Gaji
PHP 150.000 – PHP 180.000
Live Update
30 Mei 2026
Batas Akhir
30 Mei 2027

Deskripsi Pekerjaan

Coforge is seeking a highly skilled Data Engineer to join our innovative team in Makati City. In this critical role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure that power our data-driven initiatives. You will collaborate closely with data scientists, analysts, and software engineers to ensure the availability, reliability, and quality of data across the organization.

At Coforge, we are committed to leveraging cutting-edge technologies to deliver impactful solutions. As a Data Engineer, you will have the opportunity to work on complex data challenges, optimize data workflows, and contribute to the development of our data architecture. We offer a competitive compensation package, professional growth opportunities, and a collaborative work environment where your expertise will drive meaningful business outcomes.

Tanggung Jawab

  • Design, develop, and maintain scalable ETL pipelines to ingest, transform, and load data from diverse sources.
  • Implement data models and storage solutions to support analytics and reporting requirements.
  • Ensure data quality, integrity, and security through rigorous testing and monitoring.
  • Optimize data workflows and database performance for efficiency and reliability.
  • Collaborate with data scientists and analysts to understand data needs and deliver actionable datasets.
  • Build and manage data warehousing solutions using cloud platforms like AWS or Azure.
  • Develop and maintain documentation for data pipelines and architecture.

Kualifikasi

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • At least 3–5 years of experience in data engineering or a similar role.
  • Strong proficiency in SQL and programming languages such as Python or Java.
  • Hands-on experience with big data technologies like Hadoop, Spark, or Kafka.
  • Experience with cloud data services (AWS Redshift, Google BigQuery, or Azure Synapse).
  • Familiarity with data warehousing concepts and dimensional modeling.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.

Keahlian yang Dibutuhkan

Data Engineering ETL SQL Python Java Hadoop Spark Kafka AWS Azure Data Warehousing Data Modeling

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