Sql Programmer

Spatially

(Coral Gables, Florida)
Full Time
Job Posting Details
About Spatially

URBAN4M was founded in 2011 with the idea to make tangible what the mind’s eye sees and go beyond that to reveal the myriad factors and dynamics in location-­based decisions. Our applications continue to grow as we meet the expanding needs of everyone from the house hunter to corporate decision-maker.

Responsibilities
  • Work with Product, Engineering, & Data Scientists to create efficient Sql Queries to build/QA needed Data Sets, and validate/verify/troubleshoot data set integrity & validity
  • Build reusable models and queries that assist in building data set driven projects that provide insights to customers, in form of reports and data visualization
  • Ramp up into Geo-Spatial querying techniques
  • Ability to handle multiple requests project related queries, and help identify common patterns and modularize those into common data queries.
Ideal Candidate
  • Strong communication & Collaboration Skills
  • Experience in Fast Paced Startup environments
  • Positive Attitude with proven delivery experience
  • BS computer science/related subject matter or equivalent experience
  • 2+ years experience with RDBMS systems such-as Sql Server, Oracle, Mysql, Postgres
  • 2+ Years experience with SQL development experiences with solid T-SQL/SQL skills and proven SQL optimization skills.
  • Experience with both OLAP & OLTP workloads a strong plus
  • Experience with NoSql Technologies and Querying methods a Plus
  • Knowledge in One or More languages such-as Java, C#, Scala, GO, Python, Javascript a plus
  • Data Modeling experience a Plus
  • Experience in Financial, Retail, Spatial Analytics, Mapping, Location Based Services & GIS and like data and/or industries a Strong Plus

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Coral Gables, Florida
Skills Desired
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  • Data Modeling
  • Financial Systems
  • Java
  • JavaScript
  • Mapping Business Processes
  • MySQL
  • Oracle
  • Python
  • Retail Operations
  • Scala
  • SQL
  • C#
  • Geographic Information System (GIS)
  • Geospatial
  • Go
  • NoSQL
  • OLAP
  • Online Transaction Processing (OLTP)
  • PostgreSQL Programming
  • Microsoft SQL Server
  • Spatial Analysis
  • RDBMS
  • T-SQL
  • Location-based Service

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