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. Required Skills Etl,Sql,Azure

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