Description

• Work with Product, Engineering, & Data Scientists to build & manage Data systems used across product & research portfolio

• Own and manage data systems across multiple projects & platforms

• Design, Build, and manage multiple Data pipelines and ETLs dealing with various forms of data

• Work with engineering to build Data services, Sets, and streams

• Manage On Demand, Scheduled, and private data

• Design, manage, and enforce Data security & standards across all teams

• Work with Engineering, Product, and Science to model data across the organization

• Provide Data validation mechanisms in a decentralized distributed platform for various teams including science & engineering.

Qualifications

• 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

• 6+ years experience with RDBMS systems such-as Sql Server, Oracle, Mysql, Postgres

• 6+ Years experience with SQL development experiences with solid T-SQL/SQL skills and proven SQL optimization skills.

• Ability to manage, monitor, and troubleshoot production level cloud/on-premise/hybrid deployments of Sql and/or nosql systems

• Experience with both OLAP & OLTP workloads

• Experience with designing and implementing ETL workflows

• Strong passion to learn new technologies & methodologies

• Experience with NoSql/Big Data Technologies and Querying methods including Hadoop/Mapreduce systems, Apache Stack, Column Family, Key-Value, Document, and Graph data systems

• Knowledge in One or More languages such-as Java, C#, Scala, GO, Python, Javascript

• Good Data Modeling experience

• Experience with Search systems such-as Solr/Elasticsearch a plus

• Experience in Financial, Retail, Spatial Analytics, Mapping, Location Based Services & GIS and like data and/or industries a Strong Plus

This position will be filled in either Seattle, WA or Miami, FL.