Overview
On Site
Full Time
Skills
User Experience
Geospatial Analysis
Global Positioning System
Data Science
Cloud Computing
Storage
Continuous Integration
Continuous Delivery
Analytics
Data Quality
Java
Scala
Apache Hadoop
MapReduce
SQL
Data Extraction
Gradle
Build Automation
Computer Science
Big Data
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Real-time
Data Processing
Apache Kafka
Apache Storm
Apache Spark
Streaming
Job Details
Title : Software Engineer - Maps- Software, Services, and Maps
Location: Cupertino, CA 95014 - Hybrid
Duration: 12 Months
W2 only
Summary
We in Maps Analytics Platform team partner closely with Data Scientists, Program Managers and Product Analysts to measure and improve Client Maps user experience. You will work with some of the most unique and interesting data sets in the world including: geospatial, GPS, search, navigation and A/B experiment data.
We are looking for an engineer who loves to build end to end solutions for their customers and can produce high quality data artifacts at scale. The ideal candidate has experience implementing extendable frameworks on top of Spark and understands the inner workings of Spark execution and cloud computing.
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 at 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:
Preferred Qualifications
Location: Cupertino, CA 95014 - Hybrid
Duration: 12 Months
W2 only
Summary
We in Maps Analytics Platform team partner closely with Data Scientists, Program Managers and Product Analysts to measure and improve Client Maps user experience. You will work with some of the most unique and interesting data sets in the world including: geospatial, GPS, search, navigation and A/B experiment data.
We are looking for an engineer who loves to build end to end solutions for their customers and can produce high quality data artifacts at scale. The ideal candidate has experience implementing extendable frameworks on top of Spark and understands the inner workings of Spark execution and cloud computing.
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 at 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 Client 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
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.