Apple is looking for a data engineer to scale and improve their existing data infrastructure and innovate on new tooling. The role aims to bring efficiency, process, and standardization to the organization by building scalable data pipelines and repositories.
Requirements
- 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.
- 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
Responsibilities
- Responsible for architecting and implementing large scale systems and data pipelines with a focus on agility, interoperability, simplicity, and reusability
- Demonstrate business acumen, expertise and strategies into data modeling solutions
- Utilize deep knowledge in infrastructure, warehousing, data protection, security, data collection, processing, modeling, and metadata management to build end-to-end solutions that also support metadata logging, anomaly detection, data cleaning, and transformation
- Identify process improvements opportunities (tools, work streams, systems) and drive solutions from conception to implementation
- Demonstrate and explain complex business processes, systems, and/or tools with a focus on the upstream/downstream impact and relationship between multiple functions and/or decisions
- Identify and address issues in data design or integration
- Discuss technical tradeoffs across the stack, including: system architecture, database design, API design and infrastructure
Other
- The successful candidate will have a proactive approach with the ability to work independently and collaboratively on a wide range of projects.
- 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.
- 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
