TalentBurst
Title : Software Engineer - Maps
Location: Cupertino, CA 95014
Duration: 9 Months
W2 Only
Software, Services, and Maps 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 dat 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 Scal 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, GCP or Azure Experience with real time data processing using Kafka and Storm or Spark Streaming #TB_EN
Software, Services, and Maps 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 dat 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 Scal 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, GCP or Azure Experience with real time data processing using Kafka and Storm or Spark Streaming #TB_EN