- Remote Singapore
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
• Strong hands-on experience in Python programming and backend data engineering development.
• Expertise in PySpark and Python-based data processing frameworks for handling large-scale data pipelines.
• Experience working with AWS Glue and PySpark for ETL development and data transformation processes.
• Good working knowledge of Python libraries such as Pandas, NumPy, and Joblib.
• Experience in parallel batch processing using Python for optimized performance and scalability.
• Hands-on experience with AWS Batch and AWS Step Functions for workflow orchestration and automation.
• Strong understanding of AWS services including ECS, ECR, Docker, CloudWatch, and Athena.
• Ability to design, build, and maintain scalable cloud-based data engineering solutions.
• Experience in developing efficient and reliable data pipelines in cloud environments.
• Collaborate with cross-functional teams to support data integration and analytics requirements.
• Troubleshoot and optimize data workflows to improve performance and reliability.
Peringatan Penting
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