Deskripsi Pekerjaan
Are you a technical expert passionate about data architecture and cloud infrastructure? Pengiklan Anonim is looking for a skilled Cloud Data Engineer to join our dynamic team. We are a leading technology company in Indonesia offering a flexible work environment, competitive compensation, and excellent opportunities for career growth.
In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures. You will leverage cloud-native services to process, store, and analyze large datasets, ensuring high data quality and accessibility for our business stakeholders. If you thrive in a fast-paced environment and want to make a significant impact on our data infrastructure, we encourage you to apply.
Tanggung Jawab
- Design, develop, and maintain scalable data pipelines and ETL processes using cloud-native services (AWS, GCP, or Azure).
- Optimize data warehouse performance and improve query efficiency for complex analytics.
- Collaborate with cross-functional teams including data scientists, analysts, and software engineers to define data requirements and solutions.
- Ensure data quality, integrity, and consistency across all data systems and databases.
- Implement data security, governance, and compliance best practices to protect sensitive information.
- Troubleshoot data issues, perform root cause analysis, and provide technical support.
- Stay updated with the latest industry trends and technologies in data engineering and cloud computing.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Statistics, or a related technical field.
- Proven experience as a Cloud Data Engineer, Data Engineer, or similar role (3+ years preferred).
- Strong proficiency in SQL and programming languages such as Python, Java, or Scala.
- Deep understanding of data modeling, data warehousing concepts, and ETL methodologies.
- Experience with big data technologies and cloud platforms (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Strong attention to detail and a commitment to data accuracy.