Senior/Principal Data Engineer (Data Insights)
1 week ago
Manage the development of essential enterprise E2E Business Intelligence ETL solutions in Hadoop, sourcing data from HDFS, Kafka, Amazon Redshift, MongoDB or Postgres environments and using Python, Spark, Airflow and Hive.
Architect and code solutions for large-scale ETL pipelines with data processing frameworks.
Develop data solutions to promote applicable insights for population health management and positive .recommendations for ways individuals can improve their health and manage their costs.
Assess current processes, recommend and implement approaches to handle increasing volumes of data.
Communicate technical specifications to ensure that proper and optimized techniques, queries, data standards, and final outputs are understood and incorporated into data and analytics processes.
Participate in business analysis activities to gather required reporting and dashboard requirements.
Handle the product's or project’s conception, translate requirements, design initial technical specifications and develop data solutions.
Develop reports and dashboards with data from potentially multiple data sources.