chicagobuss · February 15, 2017 23:23
diff --git a/job_rec.txt b/job_rec.txt
 Data Engineering

 Purpose of the role:
 Be part of a new Data Engineering team tasked with building the next generation of data ingestion, processing and storage framework at Citadel. Data engineers will be working directly with business customers to understand their processing needs and building solutions that can be repurposed across the entire organization. Team members will come up with creative solutions on tight deadlines to real world business problems that will have a significant impact to the business successes. As such, individual engineers will see and feel significant impact and responsibility.

 Citadel has unique challenges of scale and rate of scale in terms of both compute, data volumes and user experience. If you enjoy pushing the boundaries of what is possible and building creative solutions this is the place and role for you.

 Key job responsibilities include:

 Design, build and support Citadel's data processing platforms
 Conduct proof of concept studies on new data technologies
 Build monitoring and alarming systems for production data services
 Build self-service tools for application teams, such as schema migration tools, data cataloging systems, etc.
 Design hardware and cloud infrastructure to run supported products.  

 Skills and Qualifications:

 Required:

 Hands-on experience with some new database technologies, e.g. Cassandra, Riak, VoltDB, Druid, Vertica etc...
 Some development experience - preferably in Python, Java or golang
 Experience running production services
 Excellent communication skills
 Ability to work in high pressure environment

 Preferred:

 Experience building production Big Data services, e.g. Spark, Hadoop
 Experience running, administering, or conducting performance-tuning of MS SQL Server or Vertica, both is a huge plus 
 Deep understanding of relational vs unstructured data
 Strong Python skills
 Experience working on public or private cloud infrastructure, e.g. AWS, Google, Openstack or Azure, especially their database offerings
 Running databases on public or private cloud infrastructure
 
 Education: Bachelors of Science (Master Degree preferred) in engineering, science, or mathematics.
	Data Engineering

	Purpose of the role:
	Be part of a new Data Engineering team tasked with building the next generation of data ingestion, processing and storage framework at Citadel. Data engineers will be working directly with business customers to understand their processing needs and building solutions that can be repurposed across the entire organization. Team members will come up with creative solutions on tight deadlines to real world business problems that will have a significant impact to the business successes. As such, individual engineers will see and feel significant impact and responsibility.

	Citadel has unique challenges of scale and rate of scale in terms of both compute, data volumes and user experience. If you enjoy pushing the boundaries of what is possible and building creative solutions this is the place and role for you.

	Key job responsibilities include:

	Design, build and support Citadel's data processing platforms
	Conduct proof of concept studies on new data technologies
	Build monitoring and alarming systems for production data services
	Build self-service tools for application teams, such as schema migration tools, data cataloging systems, etc.
	Design hardware and cloud infrastructure to run supported products.

	Skills and Qualifications:

	Required:

	Hands-on experience with some new database technologies, e.g. Cassandra, Riak, VoltDB, Druid, Vertica etc...
	Some development experience - preferably in Python, Java or golang
	Experience running production services
	Excellent communication skills
	Ability to work in high pressure environment

	Preferred:

	Experience building production Big Data services, e.g. Spark, Hadoop
	Experience running, administering, or conducting performance-tuning of MS SQL Server or Vertica, both is a huge plus
	Deep understanding of relational vs unstructured data
	Strong Python skills
	Experience working on public or private cloud infrastructure, e.g. AWS, Google, Openstack or Azure, especially their database offerings
	Running databases on public or private cloud infrastructure

	Education: Bachelors of Science (Master Degree preferred) in engineering, science, or mathematics.
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