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Data Architect, Big Data

Warminster, PA
Data Architect, Big Data
Warminster, Pennsylvania
Benefits are 100% paid by the company for the employee and their family.
Offer stock options!
Can be a hybrid work schedule!


The company is a Medical Device developer. We are pioneering innovative next generation treatment devices for personal health monitoring. You will have the opportunity to work on advanced, cutting-edge technologies designed to revolutionize wearable health care. Your passion and drive will be rewarded with a competitive salary, benefits, and long-term growth opportunities.
 
Requirements:
 
This full-time position is on-site. The ideal candidate is a self-starter who enjoys working independently in a start-up environment. You are detailed oriented, and goal driven. You excel at idea generation, concept development, and hands-on prototyping. You are a capable problem solver who is comfortable researching solutions independently. 
 
Qualifications:
  • Knowledge and implementation of cloud based Big Data solutions
  • Experience with statistics, modeling and numerical analysis
  • Must have experience in managing the full life-cycle of a Hadoop solution
  • Hands-on experience with open source software platforms and languages
  • Experience building comprehensive Big Data platform for data science and engineering that can run batch process and machine learning algorithms reliably
  • Implementation and tuning experience with various frameworks in the Big Data Ecosystem such as Hadoop, Presto, Apache Spark, Hive, and Impala
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
  • Knowledge of Scala and Python would be a plus

Responsibilities:
  • Explore and validate new technology platforms to solve business needs
  • Hadoop Ecosystem (map reduce, spark, hbase)
  • Responsible for developing and maintaining data warehouse, ensuring Data Architecture aligns to business centric roadmap and analytics capabilities
  • Establish data management and development standards for data warehouse, data integration and Big Data technologies
  • Support ongoing data modeling and Integration efforts for all development and production environments including Big Data Design Patterns


Education:
Bachelor's degree with a minimum of 7 years’ experience, or a Master's degree with a minimum of 3 year’s experience preferred, in computer engineering, computer science, electrical engineering, or related degree.
 

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