Remote Hadoop/Kafka data engineering jobs

We, at Turing, are looking for talented remote Hadoop/Kafka data engineers who will be responsible for creating new features and components on the data platform or infrastructure, producing detailed technical work and high level architectural design. Here's the best chance to collaborate with top industry leaders while working with top Silicon Valley companies.

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Job description

Job responsibilities

  • Design and develop low-latency, highly-performance data analytics applications
  • Develop automated data pipelines to synchronize and process complex data streams
  • Collaborate with data scientists/engineers, front-end developers, and designers to create data processing and data storage components
  • Design and develop low-latency, highly-performance data analytics applications
  • Develop automated data pipelines to synchronize and process complex data streams
  • Collaborate with data scientists/engineers, front-end developers, and designers to create data processing and data storage components
  • Build data models for relational databases and write comprehensive integration tests to deliver high-quality products
  • Participate in loading data from several disparate datasets, assist documentation team in providing good customer documentation
  • Contribute in scoping and designing analytic data assets and implementing modeled attributes

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 3+ years of experience in Data engineering (rare exceptions for highly skilled developers)
  • Extensive experience with big data technologies like Hadoop, Hive, Druid, etc.
  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 3+ years of experience in Data engineering (rare exceptions for highly skilled developers)
  • Extensive experience with big data technologies like Hadoop, Hive, Druid, etc.
  • Expertise in creating and managing big data pipelines using Kafka, Flume, Airflow etc.
  • Efficient working with Python and other data processing languages like Scala, Java etc.
  • Working experience with AWS hosted environments
  • Strong knowledge of databases including SQL, MySQL, PostgreSQL
  • Familiarity with DevOps environments and containerization with Docker, Kubernetes etc.
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience in using machine-learning systems
  • Knowledge of batch processing data and creating real-time analysis systems
  • Hands-on expertise with Golang and Scala
  • Experience in using machine-learning systems
  • Knowledge of batch processing data and creating real-time analysis systems
  • Hands-on expertise with Golang and Scala
  • Understanding of highly distributed, scalable, and low latency systems
  • Idea of data visualization and BI tools like Power BI, Tableau, etc.
  • Experience in developing REST APIs
  • Excellent organizational and communication skills
  • Great technical, analytical and problem-solving skills

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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