GenAI Engineer

Data and Gen AI Engineer

Job Description
Lead technology solution design and delivery
Create and maintain optimal data solutions, pipelines and AI models. Primary to drive Augmented Analytics
Work with business partners to document complex company-wide acceptance test plans.
Work concurrently on several projects, each with specific instructions that may differ from
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 cloud big data technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with business-critical data and technology initiatives and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and cloud 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.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Troubleshoot production support issues post release deployment and come up with solutions
Explain, Socialize and Vet designs internal and external stakeholders
Required Skills
Over 7 years of experience in Data Engineering and Advanced Analytics
Strong experience in build Generative AI based solutions for data management (data pipelines, data standardization, data quality) and data analytics.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing big data data pipelines, architectures and data sets.
Experience in Cloud technologies and SNOWFLAKE
Experience in Kafka development
Experience in Python programming
Experience in creating business data models
Experience in Report development and dashboarding
Strong Experience in driving Customer Experience
Experience in working with agile teams
Experience in Healthcare Clinical Domains
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.
A successful history of manipulating, processing and extracting value from large, disconnected datasets.
Advanced working knowledge of message queuing, stream processing, and highly scalable big data data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.