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Data Engineer

Industry: Transportation
Remote
Company size: 251-10K
Full-time

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Job description

A globally established company that has been setting industry standards in the transportation industry, is looking for a Data Engineer. The selected candidate will be responsible for general supervision and supporting the design, build, test, and maintenance of data pipelines at big data scale while also assisting with updating the data from multiple data sources. The NASDAQ-listed company also offers integrated e-commerce and other business services, and has a global workforce of more than 500,000 employees. This is an excellent opportunity for developers who enjoy focusing on delivering engineering innovation within Dataworks, thereby helping to execute the delivery of key business initiatives.

 

Job Responsibilities:

  • Resolve business problems and technical hurdles using Dataworks
  • Take charge of developing tools, platforms, and pipelines to assist teams to efficiently analyze data, build models and develop strategies
  • Ensure rapid tangible productivity while collaborating with multiple teams of different verticals
  • Deploy best practices to help in the future for reuse as accessible, reusable patterns, templates, and code-bases
  • Stay updated about peer technologists from the broader enterprise to ensure smooth deployment on downstream operational systems

Job Requirements:

  • Bachelor’s/Master’s degree in Computer Science, Information Systems, or a related quantitative field such as Engineering or Mathematics (or equivalent experience)
  • At least 2+ years of experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics
  • Working knowledge of agile and DevOps best practices for project and software management including CI/CD pipelines
  • Experience working with technologies such as Spark (Scala and PySpark), HDFS, Kafka, and other high volume data tools
  • Working knowledge of SQL and NoSQL storage tools, such as MySQL, PostgreSQL, Cassandra, MongoDB, and ElasticSearch
  • Prior working experience with tools like Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools
  • Proficient with data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines
  • Experience in designing, developing and implementing large batch or online transaction-based systems
  • Well acquainted with the transportation industry, its competitors, and related evolving technologies 
  • Prior experience of working alongside multi-functional project teams
  • Should be fluent in English with strong communication skills


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