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Teknologi Informasi & Komunikasi 🏢 Full Time ⭐️ Terverifikasi

Senior Data Engineer

Macquarie Group
Indonesia
Estimasi Gaji
Rp 35.000.000 – Rp 60.000.000
Live Update
23 Juni 2026
Batas Akhir
23 Jun 2027

Deskripsi Pekerjaan

Are you a passionate Data Engineer looking to make a significant impact at a global financial powerhouse? Macquarie Group is seeking a highly skilled Senior Data Engineer to join our team in Indonesia. This is a unique opportunity to work on a greenfield project, where you will have the creative freedom to design, develop, and maintain robust, scalable data pipelines from the ground up.

As part of our high-performing technology team, you will utilize a modern tech stack to transform raw data into actionable business intelligence. We value innovation, technical excellence, and a collaborative mindset. You will work closely with cross-functional teams to solve complex data challenges and drive architectural decisions that shape the future of our data ecosystem.

Tanggung Jawab

  • Design, build, and optimize scalable end-to-end data pipelines using modern cloud technologies.
  • Collaborate with stakeholders to translate business requirements into technical data solutions.
  • Ensure data quality, integrity, and security across all streaming and batch processing workflows.
  • Architect and implement robust data models that support advanced analytics and reporting needs.
  • Mentor junior team members and foster a culture of engineering excellence and best practices.
  • Continuously improve pipeline performance, latency, and cost-efficiency.
  • Lead the migration and integration of datasets from legacy systems to modern cloud data warehouses.

Kualifikasi

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of professional experience in data engineering, software development, or a related field.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Spark, Kafka, Flink).
  • Expertise in SQL and experience working with modern data warehouses like Snowflake, BigQuery, or Redshift.
  • Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform).
  • Excellent problem-solving skills and the ability to thrive in an agile, fast-paced environment.

Keahlian yang Dibutuhkan

Python Spark Kafka AWS Cloud Engineering Data Pipeline SQL Snowflake CI/CD Big Data Data Modeling

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