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Teknologi Informasi & Komunikasi 🏢 Contract ⭐️ Terverifikasi

Data Engineer (Project Based)

GITS Indonesia
Tangerang Selatan, Banten
Estimasi Gaji
Rp 15.000.000 – Rp 25.000.000
Terbaru
Live Update
23 Juni 2026
Batas Akhir
23 Jun 2027

Deskripsi Pekerjaan

GITS Indonesia is looking for a skilled and detail-oriented Data Engineer to join our project-based team in Tangerang Selatan. In this role, you will play a pivotal part in architecting, building, and maintaining robust data pipelines that empower our clients to make data-driven decisions. You will be responsible for ensuring data integrity, optimizing storage solutions, and transforming raw information into actionable insights.

We are seeking a candidate who thrives in dynamic environments and possesses a deep understanding of modern data stacks. You will work closely with cross-functional teams, including Data Scientists and Software Engineers, to bridge the gap between complex data infrastructure and high-level business requirements. If you are passionate about scalable data systems and high-performance computing, we want to hear from you.

Tanggung Jawab

  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest data from diverse sources.
  • Optimize database performance and design efficient data schemas for large-scale storage.
  • Collaborate with stakeholders to identify and define data requirements for analytical projects.
  • Implement data quality frameworks to ensure accuracy, reliability, and security of data assets.
  • Troubleshoot and resolve data pipeline bottlenecks and performance issues in real-time.
  • Automate data processing workflows to increase operational efficiency.
  • Maintain comprehensive documentation of data structures, pipelines, and technical architecture.

Kualifikasi

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Minimum 2-3 years of proven experience in data engineering or a similar technical role.
  • Proficiency in SQL and at least one programming language like Python or Scala.
  • Experience with cloud platforms (AWS, Google Cloud, or Azure) and their data services.
  • Familiarity with Big Data tools such as Apache Spark, Kafka, or Hadoop.
  • Strong understanding of data warehousing concepts and data modeling (star schema, snowflake).
  • Excellent analytical, problem-solving, and communication skills.

Keahlian yang Dibutuhkan

Python SQL ETL Data Warehousing Apache Spark Cloud Computing Data Modeling Big Data

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