Role Description Data Engineer RESPONSIBILITIES/TASKS: Work with Technical Leads and Architects to analyse solutions. Translate complex business requirements into tangible data requirements through collaborative work with both business and technical subject matter experts. Develop / modify data models with an eye towards high performance, scalability, flexibility, and usability. Ensure data models are in alignment with the overall architecture standards. Create source to target mapping documentation. Subject matter knowledge guidance in source system analysis and ETL build. Responsible for overseeing data integrity in the Smart Conductor system Serves as data flow and enrichment “owner” with deep expertise in data dynamics, capable of recognizing and elevating improvement opportunities early in the process Work with product owners to understand business reporting requirements and deliver appropriate insights on regular basis Responsible for system configuration to deliver reports, data visualizations, and other solution components SKILLS REQUIRED: More than 5 years of software development experience Proficient in Power BI/Tableau, Google data Studio, R, SQL, Python Strong knowledge of cloud computing and experience in Microsoft Azure – Azure ML Studio, Azure Machine Learning Strong knowledge in SSIS Proficient in Azure services - Azure Data Factory, Synapse, Data Lake Experience querying, analysing, or managing data required! Experience within the healthcare insurance industry with payer data strongly preferred Experience in data cleansing, data engineering, data enrichment, data warehousing/ Business Intelligence preferred. Strong analytical, problem solving and planning skills. Strong organizational and presentation skills. Excellent interpersonal and communication skills. Ability to multi-task in a fast-paced environment. Flexibility to adapt readily to changing business needs in a fast-paced environment. Team player who is delivery-oriented and takes responsibility for the team’s success. Enthusiastic, can-do attitude with the drive to continually learn and improve. Knowledge of Agile, SCRUM and/or Agile methodologies. Skills Etl,Sql,Azure Show more Show less

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