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Data Engineer

Pay: 
$140,000
  • Looking for junior, mid-level, and senior data engineers and data developers.
  • Job Description:
    • Develop, maintain, test, and troubleshoot code for data products. This includes Database Development, ETL / Data Migration Development, and Big Data Development.
    • Collaborate with technical and non-technical resources to solve issues and develop new functionality.
    • Participate in Requirements Gathering and Analysis meetings with Team Members, Internal Customers, and Stakeholders.
  • Education: 
    • At-least a Bachelors degree in computer science or engineering
  • Years of Experience:
    • Junior level: 2~3 years experience
    • Mid level: 3~6 years experience
    • Senior level: 6+ years experience
  • Technology Experience:
    • Strong SQL and TSQL experience with writing queries, joins, constraints, etc.
    • Some ETL experience with any ETL tool, prefer SSIS
    • Some C# development experience and/or python experience
    • Must have experience using Microsoft products (SQL Server, SSIS, etc.)
  • Concept Experience:
    • Must understand these concepts: ETL, Data Modeling, Data Dictionary
    • Must understand data architecture / development concepts
  • Leadership
    • Looking for people to own and run things and not just look for tasks
    • Must be a self-starter, engineer at heart, loves to solve problems
    • Not afraid to use new/cutting edge technologies, can-do experience
    • Learning or leading discussions on technology, R&D, hackathons, etc.
  • PREFER TO HAVE EXPERIENCE IN:
    • Microsoft Azure
    • Azure Blob Storage, Azure Data Lake Store
    • HDInsight, Hadoop, Big Data, Hive, HBase
    • SQL Experience:
      • SQL Experience with SQL Server 2012+, 
      • Azure SQL Database, 
      • Polybase (plus)
    • NoSQL Experience (plus)
      • Cosmos DB / Document DB, 
      • Azure Table Storage, 
      • JSON objects
  • BONUS:
    • Experience in Financial Services / FinTech / Governance, Risk, and Compliance
    • Experience with unstructured / big data
    • Blockchain
    • Analytics, visualization, data science, machine learning, etc.

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