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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Data Engineer

Capgemini
Kuala Lumpur City Centre, Kuala Lumpur
Estimasi Gaji
MYR 120.000 – MYR 180.000
Live Update
25 April 2026
Batas Akhir
25 Apr 2027

Deskripsi Pekerjaan

Join Capgemini as a Senior Data Engineer and empower your career in a dynamic environment where innovation meets execution. As a global leader in digital transformation, we provide the support, resources, and autonomy you need to shape impactful solutions. You'll architect robust data pipelines, optimize data workflows, and drive strategic initiatives that transform raw data into actionable business intelligence. Our culture of continuous learning ensures you'll stay at the forefront of emerging technologies while collaborating with cross-functional teams to deliver scalable, high-performance data solutions.

At Capgemini, you'll find a workplace that values your expertise and invests in your professional growth. We offer competitive compensation, flexible work arrangements, and opportunities to work on cutting-edge projects across diverse industries. Be part of a community where your contributions directly influence business outcomes and technological advancement.

Tanggung Jawab

  • Design, build, and maintain scalable data pipelines and ETL workflows
  • Optimize data storage solutions and data warehouse architectures
  • Implement data quality frameworks and governance policies
  • Collaborate with data scientists and analysts to deliver actionable insights
  • Automate data processing workflows using orchestration tools
  • Ensure data security, compliance, and performance standards
  • Lead technical initiatives and mentor junior engineers

Kualifikasi

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience in data engineering and data warehousing
  • Proficiency in SQL, Python, and ETL tools (e.g., Informatica, Talend)
  • Strong knowledge of cloud platforms (AWS, Azure, GCP)
  • Experience with big data technologies (Hadoop, Spark, Kafka)
  • Understanding of data modeling and database design principles
  • Proven problem-solving skills and ability to work in agile environments

Keahlian yang Dibutuhkan

Data Engineering ETL SQL Python Big Data Cloud Computing Data Warehousing AWS Azure Data Modeling Data Governance

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