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Apple Senior Data Engineer Operations & Planning United States, California, Cupertino 321423258
Yesterday
- Bachelor’s Degree or equivalent experience in Computer Science, Engineering, Mathematics, Information Systems, Software Engineering, Data Science, Statistics or a related field
- 5+ years experience in architecting, designing, developing and maintaining large-scale ETL/ELT pipelines(batching and/or streaming) and data solutions that are optimized for performance and can handle data from various sources, structured or unstructured data.
- Deep expertise in Data Principles, Data Architecture (including documentation) & Data Modeling, Strong SQL skills.
- Strong problem solver with excellent organizational and time management skills, acute attention to detail, and capability of taking on loosely defined problems.
- Experience with: Ruby, Rails, PostgreSQL, Snowflake, Kubernetes, Tableau or similar technologies. We believe great engineers are capable of learning new technologies, but experience in the above will be beneficial.
- Experience with enterprise resource planning (ERP) systems such as human resources information, real estate and development and/or finance systems
- Demonstrates a strong sense of professionalism; able to translate business requirements into forward-looking technical solutions and work autonomously on assignments while handling sensitive and confidential information with integrity and discretion.
- Proficiency in various data modeling techniques, such as ER, Hierarchical, Relational, or NoSQL modeling.
- Excellent design and development experience with SQL and NoSQL database, OLTP and OLAP databases
- Expertise in Java, Scala, Python, or Unix Shell scripting and dependency-driven job schedulers
- Experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
- Familiarity with Apple technologies such as Xcode and Swift are a plus.
- Familiarity with other related fields, such as data science, machine learning, and artificial intelligence, to design solutions that can accommodate advanced analytics
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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