Data Engineer, Mid

Key Role:

Leverage expertise in structured and unstructured data to perform data engineering activities on cutting-edge projects in the industry working with Big Data tools. Architect data systems and stand up data platforms, build out ETL pipelines, write custom code, 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 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 leading-edge Big Data implementations.

Basic Qualifications:

-2+ years of experience with developing ETL pipelines and developing data manipulation scripts
-2+ years of experience in using SQL, working with modern relational databases, including MySQL or PostgreSQL

-2+ 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 required

Additional Qualifications:

-Experience with Agile software development

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

-Experience in working with enterprise and production systems

-Ability to have 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

-Hortonworks, Cloudera, or Big data Certifications

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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