Data Engineer

Industry: Manufacturing
Company size: 11-50

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Job description

A Silicon Valley-based company with a proven track record of helping scientists and engineers from some of the world’s most influential companies to better understand various properties of their new products and technologies is hiring a Data Engineer. The engineer will design, implement and operate high-value data storage and analytics solutions on the platform. The company offers in-house measurement and imaging of advanced materials and strategically partners with customers and clients to solve development challenges, improve products and increase yields. This position requires a full-time, long-term commitment and a minimum of 4 hours overlap with PST.


Job Responsibilities:

  • Be responsible for the data platform implementation
  • Modify sophisticated functional and technical specs into detailed architecture and design
  • Utilize the available data to deliver business insights and customer solutions
  • Craft out unique pipelines to provide services that will impact functional and operational decisions
  • Bring data requirements together through collaboration with scientists and engineers 
  • Work actively on building the data pipelines and achieving high-quality data ingestion
  • Design and develop systems that ingest massive amounts of structured and unstructured data 
  • Maintain and manage data pipelines on AWS to enable AI & ML capabilities
  • Integrate production-ready data workflows, including automations and CI/CD pipelines 
  • Ensure adequate data quality and availability
  • Carry out ad-hoc analysis and present results in a straightforward manner
  • Research and select new Big Data tools, technologies, or frameworks required to provide requested capabilities
  • Demonstrate efficiency in handling data, tracking data lineage, ensuring data quality, and improving discoverability of data

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science, Mathematics (or equivalent experience)
  • At least 8+ years of relevant experience as a software or data engineer
  • Prolific skills in building data or machine learning pipelines
  • Track record of crafting and implementing operational data stores, as well as data lakes in production environments
  • Profound skills in implementing AWS services, including AWS Glue, S3, Athena, DynamoDB, Lambda, and RDS
  • Core competency with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)
  • Solid expertise in developing software code in one or more programming languages (C#, Java, JavaScript, Python)
  • Sound understanding of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MXNet Caffe, and Keras
  • Proficiency with DevOps, Continuous Integration, and Continuous Delivery
  • Previous experience working in an Agile development environment

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