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Apple Sr Data Engineer United States, California, San Diego 189780421
02.05.2024
Key Qualifications
- 6+ years experience in architecting, designing, and developing large scale data solutions.
- Deep understanding and strong development experience with distributed data processing frameworks such as Hadoop, Spark and others
- 6+ years experience in building and maintaining large-scale ETL/ELT pipelines (batching and/or streaming) that are optimized for performance and can handle data from various sources, structured or unstructured.
- 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 Python, Unix Shell scripting and Dependency driven job schedulers
Description
In this role, you will be collaborating with data scientists, data analysts, software developers, data engineers, and project managers to understand requirements and translate them into scalable, reliable, and efficient data pipelines, data processing workflows, and machine learning pipelines.You will be responsible for architecting and implementing large scale systems and data pipelines with a focus on agility, interoperability, simplicity, and reusability. You should have deep knowledge in infrastructure, warehousing, data protection, security, data collection, processing, modeling, and metadata management, and able to build an end-to-end solutions that also support metadata logging, anomaly detection, data cleaning, transformation, etc.
Education & Experience
Bachelor’s or Master’s degree in Computer Science, Information Systems, Software Engineering, Data Science, or a related field.
Additional Requirements
- Capacity to translate business requirements into technical solutions.
- Experienced in writing and maintaining high-quality code using standard methodologies such as code reviews, unit testing, and continuous integration.
- Stay up-to-date with the latest trends and technologies in data infrastructure, architecture, big data analytics, and apply them to improve the system.
- Familiarity with other related fields, such as data science, machine learning, and artificial intelligence, to design solutions that can accommodate advanced analytics.
- Ability to identify and address issues in data design or integration.
- Collaborative mindset to work with various teams, including data engineers, data analysts, and cross functional partner teams.
- Good time management skills and can incrementally deliver to tight schedules.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $161,700.00 and $284,900.00, and your base pay will depend on your skills, qualifications, experience, and location.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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