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Curbside Inc.
00010563 Requisition #

Job description

The Curbside Engineering team is looking for highly motivated engineers to help build the next generation mobile commerce platform.


As part of a dynamic team environment you will:

● Architect and develop processing pipelines that convert data to useful information consumed by internal and external processes

● Develop web services that make data available in real-time for in-product applications

● Build monitoring and debugging tools to analyze the data pipelines

● Design data schemas and manage operational scalability of data models

● Collaborate with product to build new features and infrastructure

● Mentor junior engineers and provide technical leadership within the development team

● Participate in code reviews and write unit, integration and load tests as necessary


● Demonstrated proficiency in Python, Clojure, Java or Go
● Excellent communication and problem solving skills

● Hands-on experience with Big Data technologies (e.g Hadoop, Hive, HBase, Spark, Kafka, Storm, Cassandra, Columnar Databases or Graph Databases)

● Track record working with data from multiple sources – willingness to dig-in and understand the data and to leverage creative thinking to deliver results

● Strong database fundamentals including SQL, performance and schema design

● Experience with cloud computing platforms like AWS, Google Cloud or Microsoft Azure

● Knowledge of the tooling for deployment, monitoring and site reliability

● Ability to work well in a team environment and be able to effectively drive cross-team solutions that have complex dependencies and requirements



● MS or BS in Computer Science or related technical field or equivalent practical experience

● 5+ years of industry experience working on building scalable ETL pipelines, data warehousing and schema modeling


Preferred Qualifications
● Functional programming experience

● Experience with various offerings from AWS, including S3, EMR, Redshift, Data Pipeline, Athena and Kinesi

● Experience in the areas of machine learning, information retrieval  or search is highly desirable

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