Data Engineer

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Data Engineer

Are you looking for unlimited opportunities to develop and succeed?  Do you want work that challenges you and helps our customers make decisions easier and their lives better?  Does a flexible, fun and supportive work environment work for you?

We have a role open for a Data Engineer to join an organization where Data is a key component for success and is recognized as such, simply put: data is a big deal here!

                                      

Job Summary

  • Deliver strategic & tactical Master Data Management initiatives and projects as part of an Agile squad
  • Design, build, integrate data from various resources
  • Translate functional and technical requirements into detailed design and high performing capabilities

 Responsibilities for this role include:

  • Design and build data patterns and services - both batch, real-time and complex event handing - leveraging open technologies;
  • Provide design solutions to technical issues and ensure the optimal solution is recommended to Technology leadership and business partners 
  • Capture, maintain and integrate technical metadata in a Big Data ecosystem and external metadata repositories
  • Assist and enable the integration of business metadata in a Big Data ecosystem and external metadata repositories
  • Participate in PoC/PoT efforts to integrate new Big Data management technologies, software engineering tools, and new patterns into existing structures
  • Ensure the timely delivery to meet project timeline by automating development and deployment tasks
  • Research opportunities for data acquisition and new uses for existing data
  • Create Big Data warehouses that can be used for reporting or analysis by data scientists
  • Influence/recommend ways to improve data reliability, efficiency and quality
  • Collaborate with other data management and IT team members on project goals
  • Document detailed Big Data design solutions conformant to enterprise standards, architecture and technologies
  • Develop application support documentation as required by the application support teams for acceptance of systems changes into production.
  • Maintain involvement in continuous improvement of Big Data solution processes, tools and templates
  • Participate in the creation and publishing of design documents, usage patterns, and cookbooks for technical community

 

Experience required for this role is as follows:

  • Demonstrated 3 – 5 years of experience in big data/data management including a university degree in Engineering, Computer Science or equivalent program;
  • Experience with the Hortonworks Data Platform (version 2.5) a plus
  • Experienced with the Hadoop ecosystem and toolset – Sqoop, Nifi, Pig, Spark, HDFS, Hive, HBase, etc.
  • Experience with Big Data streaming frameworks and tools (Spark Streaming, Storm, Kafka, etc.)
  • Experience developing Hadoop integrations (batch or streaming) for data ingestion, data mapping and data processing capabilities
  • Experience in IBM Infosphere MDM 11.x or other MDM solutions preferred
  • Experience programming in both compiled languages (Java, Scala) and scripting languages (Python or R)
  • Experience with SLDC methods (i.e. agile, iterative, waterfall, etc.)
  • Experience with DevOps or Continuous Delivery tools and processes a plus
  • Experience working in a cloud IaaS/PaaS environment a plus
  • Experience in Big Data performance analysis, tuning and capacity planning
  • Experience using a source code management / version control system.
  • Experience in data profiling and analysis is a plus

Experience in designing business intelligence systems, dashboard reporting, and analytical reporting is a plus