We're seeking an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, structuring, and analyzing hundreds of millions of data sources.
Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.ResponsibilitiesCollaborate with cross-functional teams to design, build, and maintain data processing pipelines while contributing to our common codebase.Contribute to designing and implementing data architecture, ensuring effective data storage and retrieval.Develop and optimize complex Python-based applications and services to allow more efficient data processing and orchestration, enhancing the quality and accuracy of our datasets.Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.Design and implement CI/CD processes for data processing, model training, releasing, testing and monitoring, ensuring robustness and consistency.Implement geospatial data processing techniques and contribute to the creation of our unified utilities map, enhancing the product's geospatial features.Requirements: Bachelor's degree in Computer Science, Engineering, or related field.4+ years of experience in software engineering with a focus on data systems.Proficiency in Python.Experience with big data technologies like Hadoop, Spark, or Kafka.Strong problem-solving skills and attention to detail.Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.This position is open to all candidates.
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