Build, Test, Deploy, and troubleshoot Data Pipelines Build and review data pipelines for data ingestion, data cleansing, aggregation, and readying data for consumption
Work on integration and deployment tools, methods to manage dev life cycle until production
Build the infrastructure, data pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, and AWS big data technologies Create data tools for analytics and data scientist team members that assist them in building and optimizing product into an innovative industry leader
Create data integration points for enabling Data-as-Services on Data Lake Work on integration and deployment tools, methods to manage dev life cycle until production
Collaborate with Lead engineers, and owns to deliver solutions
Participate in conversations and provide technical solutions on escalated production, performance and availability issues