Data Engineer / ETL Expert

Required Qualifications: -- 5+ years of experience in: Technical solutioning and system architecture designEvaluation and recommendation of ETL toolsImplementation of recommended ETL toolsStrong in SQL and Python, with 3+ years hands-on coding experience with bothExperience building automated big data pipelinesExperience performing data analysis and data explorationExperience working in an agile delivery environmentStrong critical thinking, communication, and problem solving skillsExperience with big data frameworks (i.e. Hadoop and Spark) Experience with cloud-based platforms (i.e. Azure, GPC, AWS) Experience working in multi-developer environment, using version control (i.e. Git) Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming) Experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS) Experience partnering cross-functionally with other technical teams (i.e. data ingestion, data science, operational systems) to align priorities and achieve deliverable outcomesExperience with setting coding standards, performing code reviews, and mentoring junior developersExperience overseeing project delivery by mentoring junior technical developersPreferred QualificationsPrevious healthcare experience and domain knowledgeExposure/understanding DevOps best practice and CICD (i.e. Jenkins) Exposure/understanding of containerization (i.e. Kubernetes, Docker) Experience with Snowflake and hands-on query tuning/optimization.