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Data Engineer - Responsible for designing, developing, maintaining, and documenting Datawarehouse solutions, creating ETL/Data pipelines using Python programming and working with various ETL tools. Design and develop technical architecture, data pipelines, and performance scaling to ensure data quality in a big data environment. Design and implement Database procedures and complex queries to retrieve data for different needs of the organization. Handle Data transformations and ETL programming for Origin to Source Data Mapping capabilities. Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions. Develop ETL jobs using various ETL tools like Talend and Informatica and performance tune existing ETL frameworks. Build APIs for data integrations and consuming ESB service requests. Use Oracle and/or Mongo DB environment to extract and transform data according to business requirements and load into the DW environment. Work with cloud technologies like AWS, GCP, Azure and AWS services like S3, Lambda, Glue, Redshift etc. Understand business requirements and translate that understanding into valuable analytical assets that improve operations. Collaborate with Product, QA and data analysis teams to deliver most efficient solutions. Perform in compliance with the current PBM v2.2 URAC standards applicable to the position. Bachelor's degree plus 3 years of experience required. Worksite: Southborough, MA. Send resume using Reference Code 8695 to: