Software Engineer - Data Platform

October 31

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Description

β€’ At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks. β€’ We are seeking a highly skilled and motivated Software Engineer to design, build, and evolve our hybrid-Cloud data plane. β€’ The ideal candidate will be a strong hands-on coder with foundational skills in large-scale data storage systems and data extraction & transformation pipelines. β€’ Design and implement data infrastructure including data lakehouse systems. β€’ Manage core Data storage, including Relational Databases, NoSQL databases, and Realtime DB. β€’ Create a robust data collection pipeline to seamlessly transfer substantial data. β€’ Build Data Lakehouse and Dashboard to support decision making. β€’ Work with the infrastructure team to deploy and manage the data platform. β€’ Engage in full-stack projects using a variety of technologies. β€’ Build Robust Metadata system and Scenario/Case Mining. β€’ Develop a versatile data serving SDK and API server to support training and simulation jobs.

Requirements

β€’ Bachelor's degree in Computer Science, Engineering, or related field. β€’ Strong problem-solving skills and attention to detail. β€’ Excellent communication and collaboration abilities. β€’ Ability to work in a fast-paced, dynamic environment. β€’ Proven track record of python production-level development (at least 3+ years). β€’ Strong background in building modern data infrastructure including data lake (such as S3, delta lake & databricks, AWS Lake formation, Glue Catalog and etc), distributed computing framework (Spark, Presto & Athena and etc), and Business Intelligence Infrastructure (Tableau, Looker, Superset and etc) β€’ Strong background in data engineering & data science including data modeling, data warehouse, pipeline, reporting tools, and analytics β€’ Experienced in Full-stack development, e.g. React, Flask β€’ Experienced in managing core data store (such as relational database and document store) β€’ Familiarity with data privacy and security β€’ Familiarity with data retention and cost control β€’ Familiarity with cloud infrastructure, e.g. AWS, GCP, K8s, Iac β€’ Nice to have experience with streaming data pipeline, e.g. Kafka, Kinesis β€’ Nice to have experience developing with C++ β€’ Ability to adapt quickly to emerging technologies.

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