Job Description
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL).
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Strong analytic skills related to working with unstructured datasets.
Must have experience in building reports, dashboards, and/or data modeling layers in Looker, Quicksight.
Experience with relational SQL and NoSQL databases.
Experience with data pipeline and workflow management tools.
Experience with AWS services.
Experience with object-oriented/object function scripting languages. Exp in Glue Job is a must.
Self-starter who is excited to be part of a growing startup company.
Able to get into the weeds and propose and implement solutions without hand holding.
Create and maintain optimal data pipeline architecture.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery re-designing infrastructure for greater scalability and usability.
Build analytics tools that utilize the data pipeline to provide actionable insights.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
Keep our data separated and secure across national boundaries through multiple data centers.
Desired skills/ Good to have:
Good communication & interpersonal skills.
Healthcare domain.
AWS Certification.