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Senior Data Engineer

  • Location: Bristol, CT
  • Job Type: Contract
  • Ref No: 19-06648
  • Date: November 11, 2019
  • Job title:
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Job Description - Senior Data Engineer


  • Build software across platform using data processing, storage, and serving large scale web APIs, with cutting-edge technologies operating in real time with high availability.
  • Conduct quantitative analytics, data mining, and discovery
  • Come up with ways to make platform more scalable, resilient and reliable
  • Lead the transformation of a peta-byte scale batch-based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks
  • Ensure strong performance by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies
  • Work closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems that can scale elastically
  • Mentor other software engineers by developing re-usable frameworks
  • Review design and code produced by other engineers
  • Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs
  • Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
  • Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.


  • 5+ years’ experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis
  • Experience with big data frameworks such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka
  • Understanding of reactive programming and dependency injection, such as Spring to develop REST services
  • Hands-on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases)
  • Hands-on experience with developing and deploying in a cloud native environment (preferably AWS)

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