· 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 in MySQL DB, Snowflakes and AWS ‘big data’ technologies.

·  Build analytics tools that utilize the data pipeline to provide actionable insights into patient in Adverse events.

·  Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

·    Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

·  Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

·    Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications Required:

·    Should hold undergraduate / postgraduate degree in IT or non IT.

·    Advanced working SQL knowledge.

·   Working familiarity with a variety of databases like MySQL, Heatwave, Presto, Pinot, Hive, MongoDB, or Cassandra.

·   Experience building and optimizing ‘big data’ data pipelines, architectures and data sets in Snowflakes, NiFi, AWS Redshift etc.

·  Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

·   Strong analytic skills related to working with unstructured datasets.