Database Administrator (DBA)

Location: New York, NY
Position Overview
Join the team that is responsible for tasks such as development of best practices and repeatable procedures for deploying and managing databases, as well as day-to-day operational activities including break/fix, resource balancing, backup and recovery, database tuning, database replication management and coordination of schema changes. Work closely with the RDBMS developers and retain and foster deep understanding of this RDBMS's internals in order to respond quickly and effectively to matters ranging from design input to urgent trouble shooting. If these responsibilities sound exciting to you and you're a self-motivated and highly curious Database Administrator / Engineer with experience in SQL, IT administration, Unix, performance tuning, Database Internals, and Perl/shell programming (scripting), we'd love to talk to you about joining the DBA team!

  •  Experience working with at least one of the commercially available relational database technologies for a minimum of 4  years
  •  Knowledge of SQL and SQL performance tuning
  •  Solid understanding of relational database internal architecture
  •  Experience in performance tuning of databases
  •  Experience with Unix and Unix tools including shell & Perl scripting
  •  Experience in designing and automating repeatable processes
  •  Solid verbal and written communication skills

  •  Experience analyzing existing RDBMS/IT/Operational systems and identifying shortcomings with concrete ideas for  improvement.
  •  Knowledge of Berkeley DB
  •  Knowledge of C programming

  •  Mon-Fri, Day Shift (9am - 5pm)
  •  Weekly on call rotation approximately once every 2 months.
About MGRS Group
MGRS Group specializes in the placement of information technologists, with a very specific focus on object-oriented programmers. We effectively recruit for C/C++, C# and Java Software Engineers as well as Ruby on Rails, PHP, Python and Perl Developers. We work with the most talented developers in this business, at all levels in their career and within various areas such as Research and Development (R&D), Market Data, Trading Systems, HFT, Low Latency, Data Science, Machine Learning, Natural Language Processing (NLP), Artificial Intelligence (AI), Business Intelligence (BI), Big Data Analytics, Cloud Computing, Mobile Development, Websphere Portal and Business Integration.
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