Deskripsi Pekerjaan
Join our innovative team as a Senior Data Engineer and become the architect of data-driven solutions. You will transcend traditional pipeline management by optimizing query performance at enterprise scale and designing fault-tolerant data infrastructure that powers critical business decisions. This role offers the opportunity to work with cutting-edge technologies in a dynamic environment where your expertise will directly impact organizational growth. Collaborate with cross-functional teams to transform complex data challenges into scalable, efficient systems while maintaining the highest standards of data integrity and security. We value technical excellence and offer continuous learning opportunities to keep you at the forefront of data engineering innovation.
Tanggung Jawab
- Design, implement, and maintain scalable ETL pipelines and data workflows
- Optimize data processing systems for performance, cost-efficiency, and fault tolerance
- Architect cloud-based data solutions leveraging AWS/Azure/GCP platforms
- Collaborate with data scientists and analysts to define data requirements
- Implement data quality frameworks and monitoring systems
- Lead data migration projects and system integration initiatives
- Mentor junior engineers and promote best practices in data engineering
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering and pipeline development
- Expert proficiency in SQL, Python, and at least one cloud platform
- Strong background in data modeling and distributed systems
- Experience with big data technologies (Spark, Hadoop, Kafka)
- Certification in cloud data services (AWS/Azure) preferred
- Proven track record of optimizing data infrastructure at scale