Cloud Data Engineer

New York

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Posted 1 month ago

The Cloud Data Engineer will play a critical role on helping Lab49’s clients design and execute their transitions to cloud based data. Working in a collaborative and innovative project team, with direct client-facing interactions, the Cloud Data Engineer will apply the skills and expertise to create secure and performant cloud-based data strategies leveraging the latest in technological options.  

Responsibilities

  • Design and build cloud-based advanced data strategies
  • Design and execute migration paths and validation, inclusive of parallel runs
  • Communicate with leadership, product owners, other technologists and users to create data strategies based on an understanding of business and technical priorities
  • Break down complex problems into elegant solutions
  • Work with outside data sources and APIs
  • Oversee development teams in deploying and validating of data strategies and understanding concerns such as provenance, discovery, entitlement and performance of data delivery.
  • Work with development engineers to track down defects
  • Actively contribute to improving software prior to distribution to Lab49’s client’s clients
  • Bring a passion to stay on top of tech trends
  • Experiment with and learn new technologies

Required Skills and Experience

  • Proven software design and development capability for data-driven projects
  • Experience with cloud-based data technologies such as Elastic/Lucne, S3, RDS, RedShift, Dynamo, Snowflake
  • Experience working distributed compute modalities with HDFS, Spark
  • Working knowledge of the general cloud-data landscape, architectures, trends and emerging technologies
  • Experience working in an Agile environment.
  • College degree in Computer Science or related field of study or equivalent experience
Job tags: HDFS Redshift Spark
Job region(s): North America
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