Vacancy expired!
Data Engineer (Apple) Automate end-to-end ETL/ML pipelines with a structural understanding of data products Automate, deploy and maintain ML pipelines into existing cloud resources. Work with team members to assist with data-related technical issues and support their data product needs, and maintain high-standard documentation Required Skills A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience Proficient in a python programming language, minimum of 4 years of experience Experience in implementing data pipelines using python, familiar with Pandas and Numpy Experience with Postgres database, familiar with SQL scripting Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies Experience with query APIs using JSON, Protocol Buffers, or XML Experience with Unix-based command-line interface and Bash scripts Experience with REST API development in Python EducationBachelors in computer science or engineering; Masters preferred