Job Summary:

We are seeking experienced and versatile Software / AWS Data Engineers. The ideal contributor will work with a skilled team developing and operating enterprise-grade Big Data services and infrastructure on the AWS platform.

Skills:

  • Strong background in commercial-grade software development with Java, Python, SQL
  • Hands-on experience developing advanced analytics in SQL, R, Spark or similar tools
  • Experience with AWS architectures, development, and deployment
  • Strong experience with middle-tier web services development (REST APIs)
  • Ability to work across all layers of an application, from back-end databases through UI
  • Proficient with SQL databases and knowledge of standard methodologies
  • Experience with enterprise-scale data warehouse technologies (Teradata, Oracle, SQL Data Warehouse, Vertica, Redshift)
  • Good working knowledge of Big Data technologies such as Hadoop, Hive, Spark
  • Experience managing applications in AWS and familiarity with core services including EC2, S3, RDS, etc.
  • Experience with deployment automation tools like Puppet, Chef, and Ansible
  • Exposure to networking & load balancing solutions
  • Ability to work with development teams to deliver high-quality
  • Agile / Scrum development methodology
  • Excellent documentation habits

If you have experience automating large-scale deployments with modern configuration and deployment management systems this could be the ideal role for you. ESSIT works with enterprise-level organizations on some of the world’s largest automation and cloud deployment projects, and get to work with the coolest technologies throughout the process!

Desired Skills:

  • Knowledge of Linux OS (Redhat, Ubuntu, Mint, Debian, Fedora, etc.)
  • Scripting skills (Python and Ruby preferred, Perl)
  • Great communication and eagerness to continue learning

Pluses:

  • Configuration Management (Chef, Puppet or Ansible preferred)
  • Continuous Integration (Jenkins preferred)
  • Exposure to cloud platforms (AWS strongly preferred, Rackspace, OpenStack, etc.)
  • Cloud Monitoring tools (Nagios, Cacti, CloudWatch, Gnaglia, etc.)
  • Docker
  • NoSQL database (DynamoDB, Cassandra, MongoDB, etc)
  • Other Open Source tools