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Data Engineering 🏢 Full Time ⭐️ Terverifikasi

Data Engineer

IDstar Cipta Technology
Jakarta Raya
Estimasi Gaji
Rp 15.000.000 – Rp 30.000.000
Live Update
13 Juni 2026
Batas Akhir
13 Jun 2027

Deskripsi Pekerjaan

Join IDstar Cipta Technology as a Data Engineer and become a pivotal force in transforming raw data into strategic business assets. We're seeking a technically skilled professional to architect, build, and optimize robust data pipelines that empower data-driven decision-making across the organization. In this role, you'll design scalable ETL processes, maintain data warehouses, and ensure seamless data flow between systems while maintaining strict compliance and security standards. Collaborate with cross-functional teams to understand business requirements and translate them into efficient data solutions. You'll work with cutting-edge technologies to process large datasets, automate workflows, and deliver high-quality analytics infrastructure. This position offers unparalleled opportunities to grow your expertise in big data technologies while making tangible impact in a dynamic tech environment.

Tanggung Jawab

  • Design, implement, and maintain scalable data pipelines and ETL processes
  • Develop and optimize data warehousing solutions for analytics and reporting
  • Ensure data quality, integrity, and security through rigorous testing protocols
  • Collaborate with data scientists and analysts to understand business requirements
  • Automate data workflows and improve processing efficiency
  • Monitor data systems and troubleshoot performance issues
  • Stay updated with emerging data technologies and industry best practices

Kualifikasi

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 3+ years of experience in data engineering or similar role
  • Strong proficiency in SQL and database management systems
  • Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi)
  • Knowledge of big data technologies (Hadoop, Spark, Kafka)
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Experience with programming languages (Python, Java, Scala)
  • Understanding of data modeling and architecture principles

Keahlian yang Dibutuhkan

ETL SQL Python Big Data Hadoop Spark AWS Azure Data Warehousing Data Pipeline Data Quality Automation

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