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Principal Data Architect

Information Technology
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Job Requirements

  • BS in Computer Science or related field

  • 6+ years of experience in the data and analytics space

  • Certification –preferably AWS Certified Big Data or any other cloud data platforms, big data platforms

  • 4+ years experience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow , Hive and Python.

  • 3+ years in key aspects of software engineering such as parallel data processing, data flows, REST APIs, JSON, XML, and micro service architectures.

  • 2+ year of experience working on Big Data Processing Frameworks and Tools – Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)

  • 6+ years of RDBMS concepts with Strong Data analysis and SQL experience

  • 3+ years of Linux OS command line tools and bash scripting proficiency


 Nice to have:

  • Kubernetes and Docker experience a plus

  • Prior working experience on data science work bench

  • Cloud data warehouse experience - Snowflake is a plus

  • Data Modeling experience a plus


Knowledge, Skills and Abilities: 

  • A passion for technology and data analytics with a strong desire to constantly be learning and honing skills

  • Ability to deliver independently without oversight

  • Be productive even with ambiguity and highly fluid requirements during initial stages of projects

  • Flexibility to work in matrix reporting structure

  • Experienced in implementing large scale event based streaming architectures

  • Strong communication and documentation skills

  • Working knowledge of NoSQL, in-memory databases

  • Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture

  • Experienced in collaborating with cross-functional IT teams and global delivery teams

  • Solid Programing experience in Python - needs to be an expert in this 4/5 level

  • Working knowledge of data engineering aspects within machine learning pipelines (e.g., train/test splitting, scoring process, etc.)

  • Experience working in a scrum/agile environment and associated tools (Jira)

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