Overview
On Site
$63.3 hr
Full Time
Contract - Independent
Contract - W2
Contract - 12+ mo(s)
Skills
SPARK
SQL
JAVA
SCALA
AWS
AMAZON WEB SERVICE
DATA ENGINEER
DATA ENGINEERING
PIPELINE
PIPELINES
DATA
Job Details
Title: Software Engineer
Duration: 12 Months Contract (Possibility of Extension after that)
Location: Cupertino, CA
Pay Range: $60/Hr - $63/Hr
Description
We are looking for an engineer who loves to build end-to-end solutions for their customers and can produce high quality data artifacts on a scale. The ideal candidate has experience implementing extendable frameworks on top of Spark and understands the inner workings of Spark execution and cloud computing.
Responsibilities:
Minimum Qualifications
Preferred Qualifications
Duration: 12 Months Contract (Possibility of Extension after that)
Location: Cupertino, CA
Pay Range: $60/Hr - $63/Hr
Description
We are looking for an engineer who loves to build end-to-end solutions for their customers and can produce high quality data artifacts on a scale. The ideal candidate has experience implementing extendable frameworks on top of Spark and understands the inner workings of Spark execution and cloud computing.
Responsibilities:
- Partner with Program, Data Science and Engineering -teams to understand Apple Maps analytics data needs
- Design and build data processing pipelines in a hybrid cloud environment
- Design data models for optimal storage and retrieval
- Design and develop new data processing systems to enable quick and easy consumption and augmentation of data
- Design and develop CI/CD for Analytics Platform needs
- Build data expertise and develop methods to monitor data quality
Minimum Qualifications
- 4+ years of experience in data processing platform development
- 4+ Experience with Java or Scala
- Experience with data processing using Spark, Hadoop, MapReduce and SparkSQL
- Experience with SQL or other declarative data extraction languages
- Experience with Amazon Web Services
- Experience with Gradle or similar build automation system
Preferred Qualifications
- B.S or advanced degree in Computer Science or related field
- Experience in big data processing platform and framework development
- Experience with Amazon Web Services, Google Cloud Platform or Azure
- Experience with real time data processing using Kafka and Storm or Spark Streaming
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