Responsibilities for Data Engineer:
- 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 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.
