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Senior Data Engineer

Company: Quantitative Systems
Location: Richardson
Posted on: April 28, 2021

Job Description:

Senior Data Engineer (VP)Richardson, TXMid or Senior Level Data Engineer--FintechWe provide asset management, wealth management and banking expertise to consumers and institutions around the world. CIMD partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.
We are backed by our unique team, comprised of individual contributors from leading agile technology companies, fintechs and consumer financial services companies, allowing us to disrupt the industry, while helping consumers take control of their financial lives.
RESPONSIBILITIES AND QUALIFICATIONS
HOW YOU WILL FULFILL YOUR POTENTIALWe are looking for a Data Engineer to join our fast growing team. This person will be responsible for expanding and optimizing our current cloud based data pipeline architecture for the various cross functional teams. The ideal candidate has experience building robust data pipelines and reporting tools. However, someone with a strong application development background with keen interest in data engineering would be considered. The candidate will be collaborating extensively with Engineering, Analytics and Product teams to support functional use-cases and take data driven decisions

  • Strong background in data processing & software engineering and can build high-quality, scalable data oriented products.
  • Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.
  • Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalent
  • Strong understanding of data architecture, modeling and infrastructure
  • Experience with building workflows (ETL pipelines)
  • Experience with SQL and optimizing queries
  • Problem solver with attention to detail who can see complex problems in the data space through end to end
  • Willingness to work in a fast paced environment
  • MS/BS in Computer Science or relevant industry experience
  • 5+ years of experience in the industry
    QUALIFICATIONS
    • Strong background in data processing & software engineering and can build high-quality, scalable data oriented products.
    • Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.
    • Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalent
    • Strong understanding of data architecture, modeling and infrastructure
    • Experience with building workflows (ETL pipelines)
    • Experience with SQL and optimizing queries
    • Problem solver with attention to detail who can see complex problems in the data space through end to end
    • Willingness to work in a fast paced environment
    • MS/BS in Computer Science or relevant industry experience
    • 5+ years of experience in the industry
      Preferred Skills
      • Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)
      • Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)
      • Experience leading a small team of engineers

Keywords: Quantitative Systems, Richardson , Senior Data Engineer, Engineering , Richardson, Texas

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