Overview

Key Role:

Leverage expertise in structured and unstructured data to perform data engineering activities on some of the coolest cutting-edge projects in the industry and work with Big Data tools. Architect data systems, stand up data platforms, build-out ETL pipelines, write custom codes, interface with data stores, perform data ingestion, and build data models. Assess, design, build, and maintain scalable data platforms that use the latest and best in Big Data tools. Perform analytical exploration and examination of data from multiple sources of data. Work in a Scrum-based Agile environment with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers pushing the envelope of bleeding-edge Big Data implementations.

Basic Qualifications:

-2+ years of experience within data science, data engineering, or software development role

-1+ years of experience with machine learning or advanced analytics tools and methods

-Experience with Big Data systems, including Hadoop, HDFS, Hive, or Cloudera

-Experience with conceptualizing, architecting, and implementing the ingestion, transformation, and loading of data

-Experience with common data engineering tools, including Oracle SQL, SQL Server, NoSQL, or PostgreSQL

-Ability to obtain a security clearance

-BA or BS degree

Additional Qualifications:

-Experience with Agile software development

-Experience with using Lucene-based search engines, including ElasticSearch or Solr

-Experience with Big Data ETL tools, including StreamSets and NiFi

-Experience in working with enterprise and production systems

-Ability to display a positive, can-do attitude to solve the challenges of tomorrow

-Ability to learn technical concepts and communicate with multiple functional groups

-Possession of excellent oral and written communication skills

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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