Big Data Architect

Pittsburgh, Pennsylvania | Direct Hire

Post Date: 11/01/2017 Job ID: 15373 Industry: ARCHITECT

Big Data Architect / Lead Solutions Architect / Hadoop
Pittsburgh, PA

Our client in Pittsburgh, PA is looking to add a full-time, direct hire Big Data Architect to their growing software development team.

PRIMARY DUTIES

  • Lead a development team of big data designers, developers, data scientists, and DevOps
  • Implement a big data enterprise warehouse, BI and analytics system using Hive, Spark, RedShift, EMR (Hadoop), and S3
  • Develop and maintain processes to acquire, analyze, store, cleanse, and transform large datasets using tools like Spark, Kafka, Sqoop, Hive, NiFi, and MiNiFi
  • Provide recommendations, technical direction and leadership for the selection and incorporation of new technologies into the Hadoop ecosystem
  • Participate in regular status meetings to track progress, resolve issues, mitigate risks and escalate concerns in a timely manner
  • Contribute to the development, review, and maintenance of product requirements documents, technical design documents, and functional specifications
  • Help design innovative, customer-centric solutions based on deep knowledge of large-scale, data-driven technology and the healthcare industry
  • Help develop and maintain enterprise data standards, best practices, security policies and governance processes for the Hadoop ecosystem

REQUIREMENTS AND SKILLS

  • Bachelor’s Degree in computer information technology, computer science or related discipline required;
  • Master’s Degree in Business (MBA), Masters, PhD., in Computer Science/Software Engineering or a related area preferred
  • 5+ years of experience in large systems analysis and development
  • 4+ years related experience on data warehousing and business intelligence projects
  • 3+ years implementation or development experience with the Hadoop ecosystem
  • Additional technical knowledge in the following areas:
    • Experience handling very large data sets
    • RESTful Web Services
    • Java/Scala application development
    • Apache Spark
    • Sqoop, Spark, Hive, Kafka, and Hadoop
    • Automated testing for Big Data platforms
    • Agile software development process and development best practices
    • Experience with Big Data text mining and big Data Analytics preferred
  • Experience executing several software development methodologies and life cycles.
  • Ability to understand and translate business requirements into technical specifications.
  • Ability to negotiate with and influence senior management.
  • Proven ability to organize/manage multiple priorities
  • Excellent written and oral communication skills.
  • Strong analytical and problem-solving

 

 

Big Data Architect / Lead Solutions Architect / Hadoop - 15373

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