Data Engineer

Industry: Manufacturing
Company size: 11-50
Not disclosed

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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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Frequently Asked Questions

What level English is necessary to get a job?
Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.
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We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.
How is Turing different from other remote based job providers?
It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.
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After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.
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We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.
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