Data Engineer, Mid

Key Role:

Leverage expertise in structured and unstructured data to perform data engineering activities on some of the coolest and cutting-edge projects in the industry working with Big Data tools.

Stand up data platforms, building out ETL pipelines, writing custom code, interfacing with data stores, performing data ingestion, and building 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 Scrum-based Agile environment with multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers in an agile fast-paced environment that is pushing the envelope of bleeding edge Big Data implementations.

Basic Qualifications:

-5+ years of experience with developing ETL pipelines and developing data manipulation scripts
-5+ years of experience with using SQL, working with modern relational databases, including MySQL, or PostgreSQL

-5+ years of experience with Big Data systems including Hadoop, HDFS, Hive, or Cloudera

-Experience with using Lucene based search engines, including elasticsearch or solr
-Active Secret clearance

-BS degree in CS or Information Systems

Additional Qualifications:

-Experience with Agile software development

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

-Experience working with enterprise and production systems

-Ability to have a positive, can-do attitude to solve the challenges

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

-Possession of excellent oral and writing and communication skills
-Hortonworks, Cloudera, or Big Data Certification

Clearance:

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

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