Data Engineer

Company: MatchPoint Solutions
Location: San Francisco
Posted on: January 17, 2020

Job Description:

What You'll Do: - Build scalable and extensible data sharing solutions that meet high requirements for data privacy, reliability, and quality. You'll work with geotemporal data of global scale, such as travel times, street segment-level speed, safety, fuel consumption, or road infrastructure, etc. - You'll build data pipelines that connect and stream from our data warehouses and various ETL systems- Design and implement data sharing standards and APIs that fulfill city regulatory compliance requirements.- Conduct end to end integration tests post implementation to ensure high quality engineer deliveries.- Collaborate in the cross functional team of engineers, designers, data analysts, product managers, product marketing managers, and policy researchers to plan for team roadmap. What You'll Need: - Minimum 3 year s experience as a software engineer- Expertise in one or more object oriented programming language (e.g. Python, Go, Java, Scala) and the eagerness to learn more- Experience with designing and implementing external and internal APIs- Experience with building self-service and high-quality tools for developers with a customer-driven mindset- Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra) Bonus Points If: - Experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm.- Excellent communication and collaboration skills. We work with many humans on a daily basis.- Passionate about shaping the future of the cities we live in.- Experience with data storage engines and geospatial datasets and services.- Experience with urban planning communities, or city local policy teams and governments. - provided by Dice

Keywords: MatchPoint Solutions, San Francisco , Data Engineer, Engineering , San Francisco, California