Apple is looking for a data engineer to scale and improve existing data infrastructure, innovate on new tooling, and 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.
- 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 with: Ruby, Rails, PostgreSQL, Snowflake, Kubernetes, Tableau or similar technologies.
- Familiarity with other related fields, such as data science, machine learning, and artificial intelligence, to design solutions that can accommodate advanced analytics
Responsibilities
- Responsible for architecting and implementing large scale systems and data pipelines with a focus on agility, interoperability, simplicity, and reusability
- Utilize deep knowledge in infrastructure, warehousing, data protection, security, data collection, processing, modeling, and metadata management to build end-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
- Identify and address issues in data design or integration
- Discuss technical tradeoffs across the stack, including: system architecture, database design, API design and infrastructure
- Translate requirements into scalable, reliable, and efficient data pipelines, and data processing workflows
- Prepare data for analysis and visualization with particular focus on historical repositories and change control
Other
- The successful candidate will have a proactive approach with the ability to work independently and collaboratively on a wide range of projects.
- Demonstrate business acumen, expertise and strategies into data modeling solutions
- 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
- Strong problem solver with excellent organizational and time management skills, acute attention to detail, and capability of taking on loosely defined problems.
- 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.
