Responsibilities:
▪ Design a data collection, storage and data search and access API, from our edge computing to the cloud and on prem storage.
▪ Develop the data storage and meta data databases for our AI and Algorithms to access train and test.
▪ Analyse data usage and optimize cost structures in parallel to low latency access using common and proprietary services in the cloud.
▪ Design and develop tagging tools and automation on top of our data.
▪ Work closely with Software, AI and Algorithm teams on system integration, benchmarking and data access.
Requirements:
▪ Bachelor’s degree in a quantitative field such as math, computer science, engineering, etc.
▪ 2+ years of experience and deep understanding and with SQL and NoSql DBs (MySql, Elastic, MongoDB, Postgres).
▪ 2+ Experienced with Python programming.
▪ Knowledge Data Science related infrastructure such as AWS and GCP.
▪ Strong collaborator with teams and peers
▪ Innovative with a growth mindset
Advantages:
Additional software programming experience
Familiar with scripting languages including Bash, Windows cmd, Windows PowerShell
Experience with Hadoop, Map Reduce, Spark, or another distributed computing platform
Cloud provisioning and administration experience and system admin experience in Windows and Linux.
