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The App Store data engineering team provides insights through data that drive decision-making for our engineering and product teams. We are looking for a Data Pipeline Engineer who can automate and build data pipelines for our search and recommendations features.
Imagine what you could do here. At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
- Proven experience working on big data systems and distributed computing, such as Hadoop and Spark.
- Proficiency in using query languages like SQL, Hive and SparkSQL.
- Experience with entity-relationship modeling and understanding of normalization.
- Experience with sessionization of clickstream and time-series data is a plus.
- Familiar with the concepts of dimensional modeling.
- Experience maintaining a large software system and writing a test suite.
- Experience with Continuous Integration, Version Control such as git.
- Experience with programming languages such as Scala, Spark or Python.
- Experience with data visualization tools, such as GGplot, etc.
- Deep understanding of data structures and common methods in data transformation.
- Keep up-to-date with the newest technology trends.
This team designs, executes and builds tools for online experiments (A/B tests) and offline experiments (human relevance judgement) that help us improve and fine tune our data-driven features. Your primary focus will be to automate the delivery of various datasets by working with Data Scientists on the team to understand critical metrics/KPIs and how they are derived. You will write and maintain the code that ingests, computes and organizes various data sets.
ADDITIONAL EXPECTATIONS OF THIS ROLE INCLUDE:
- Working with software engineering teams to improve data collection procedures.
- Processing, cleansing, and validating the integrity of data used for analysis.
- Engineer code that is durable and reliable.
- Performance tune and optimize code as data grows and needs change.
- Generate reports (that can be automated) to present key insights to internal partners and leaders across engineering and product teams.
- Showcase real passion for visualizing and making sense of data analysis.
Education & Experience
Bachelor’s Degree in Computer Science or related field
3-5+ years’ demonstrated experience with Big Data systems, ETL, data processing, and analytics tools.