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Apple Sr Data Engineer - Products Ad Platforms United States, Texas, Austin 464216918
21.09.2024
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Description
- Use modern tools and technologies to build reliable and performant pipelines and data products with extreme scale requirements- Solve tough problems across the technology spectrum including designing, creating, and extending data storage, processing, and analytic solutions- Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage- Must be able to work in a rapidly changing environment and perform effectively in a sprint-based agile development environment
Minimum Qualifications
- Background in computer science, mathematics, or similar quantitative field with a minimum of 4-6 years professional experience
- Demonstrated ability to implement and extend highly performant, resilient, and reliable data services
- Worked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks
- Extract Transform Load (ETL) and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scale
- Deep expertise in data modeling, Scala, Spark, Python, Java, Scala, SQL, Trino, Glue and/or other relevant languages and frameworks
Preferred Qualifications
- Experience with workflow scheduling / orchestration such as Airflow
- Ability to take requirements from design through to implementation both independently and working collaboratively within teams
- Ability to work closely with operational teams on deployment, monitoring, management concerns
- Ability to design and implement effective testing and operations strategies for data pipelines and data products
- Worked in CI/CD environments
- Experience with applying data encryption and data security standards
- Experience using one or more scripting languages (e.g., Python, bash, etc.)
- Experience supporting and working with cross-functional teams in a dynamic environment
- Understanding of modern data engineering approaches and are aware of what leading players are doing
- Experience implementing machine learning and data science workloads a plus
- Ability to communicate technical concepts to a business-focused audience
- Most importantly, a sense of humor and an eagerness to learn
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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