Cloud Data Engineer
Apple
- Cupertino, CA
- Permanent
- Full-time
- Expertise in designing and implementing scalable and secure data storage solutions in the cloud, ensuring optimal performance, cost and accessibility.
- Hands on experience using cloud services and tools to automate data workflows and streamline the data engineering process.
- Proficiency in database design and development with relational, non-relational, and OLAP databases.
- Solid understanding of cloud cost management principles and experience in forecasting and optimizing compute and storage costs.
- 5+ years of proven experience designing, and implementing large scale data solutions in public cloud(s) and big-data platforms like Spark, Dremio, Hadoop, Hive, etc...
- 3+ years of proven experience operating big-data platforms or data-planes.
- 3+ years demonstrated ability designing and developing of custom ETL pipelines using SQL, and/or scripting languages (Python, Shell, etc...).
- Familiarity with version control systems, CI/CD practices, testing, and migration tools for database and software.
- Experience with implementing cloud security best practices for data platforms, including handling sensitive datasets.
- AWS Data Engineer Associate certification (preferred).