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BI Engineer/Analyst

Purch

Purch is one of the world’s largest tech publishers with brands such as Tom’s Guide, AnandTech, Space.com, LaptopMag, and LiveScience under its umbrella. With billions of users and three straight years of profitable, venture-backed double digit growth, Purch is on a mission to make complex buying decisions easier for both buyers and sellers.  Purch is a fun, innovative company looking for talented people who fit.

*Cover letter required

 

Description of Duties or Attach Job Description:

  • Designs and implements a cloud data platform that processes, stores, and analyzes terabytes of data per day from hundreds of different data sources
  • Is a master of all things data including models, flows, quality, governance, and integrations
  • Optimizes query and database performance like a finely tuned violin
  • Deploys hardware and cloud functionality and capacity to its most efficient extent
  • Presents a killer roadmap to the executive team with full technology stack ROI arguments
  • Is well-versed in a wide variety of DW/BI tools
  • Define, evangelize, and enforce development and modeling best practices
  • Prides him or herself in the ability to troubleshoot anything data-related
  • Relishes rapid iterations of new, unproven open source technologies
  • Serves as the engineering lead of a top-notch development team
  • Relentlessly tunes ETL workflows and integration jobs
  • Delivers solutions and products on time and on budget
  • Has the ability to communicate to and earn the respect of executives and engineers alike

 

Needs

  • College graduate, preferably in a technical discipline
  • Fluent English skills
  • Strong software engineering skills
  • Mastery of SQL, metadata frameworks, taxonomy management
  • Mastery of data modeling, warehousing, ETL, relational and non-relational storage
  • Proficiency in one or more BI tools – Qlikview, Cognos, Business Objects, SSRS, Tableau, Spotfire, Looker, ChartIO
  • Proficiency in two or more DBs – SQL Server, RedShift, PostgresSQL, Netezza, Vertica, Snowflake, Oracle, MySQL, NoSQL DBs
  • Strong working knowledge in one or more programming languages – Python, R, Java, .NET, Javascript, PHP, Pearl, Ruby, Scala, Clojure
  • Amazon data stack experience (Kinesis, S3, EC2, Redshift, Glacier, etc.)

 

Salary: 60k - 100k 

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