Company Description
Will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Provide support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Job Description
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data
infrastructure needs.

Qualifications
Experience with both Windows and Linux operating systems.
Experience with big data tools: Kafka, RabbitMQ, Splunk, ELK Stack etc.
Experience with scripting and orchestration tools and products: Python, Ruby, Bash, Kubernetes, Ansible, Morpheus.
Experience with relational SQL and NoSQL databases including SQL Server, Couchbase, Postgres, Redis and MongoDB.
Experience with Microsoft Azure.