Data Engineer- Mandatory Rhapsody integration engine/software

Reports To: Data Architect / Project Manager. Job Summary: 4 to 5 years of hands-on experience in SQL - advanced queries, python for data engineering, azure data engineering services is must snowflake analytical layer development, DBT (nice to have) who can develop, and maintain data pipelines, data cubes and data warehouses. Hands- on working experience with the Rhapsody integration engine is mandatory. Key Responsibilities: Core Duties: Understand the high-level design document and be able to comprehend the technical solution provided. Develop the ADF pipeline as per the HLD. Develop the analytical layer in the snowflake analytics schema using the data mapping document Unit test both the ADF pipeline and the analytics schema Demo the solution built to the Data architect, project manager, product manager etc. Technical Skills or Knowledge Areas: SQL Python AZURE for data engineering Snowflake for data warehousing/ Data cube development Rhapsody integration engine – at least some hands-on working experience (must have) Healthcare data parsing using Rhapsody (HL7, FHIR, etc.) – added advantage Rhapsody with SFTP-based file read and parsing – helpful Collaboration & Teamwork: Have familiarity with slack communication, emails, JIRA/Kanban, demoing technical deliverables. Offshore – onshore collaboration model familiarity. Process Improvement: Should be able to answer questions during the QA phase, review phase and be able to handle change management. Compliance & Reporting: Should be able to create and improve the low-level design document Should be able to create stakeholder understanding, training documents for the work done by the developer. Required Qualifications: Education & Certifications: BE/ Btech Experience: 2 to 4 years in data engineering – Must have SQL, Python for data engineering, any cloud-🡪 based data pipeline/ data warehouse tools preferably Azure and Snowflake.🡪 Must have at least some hands-on experience with the Rhapsody integration engine;🡪 healthcare data parsing (HL7, FHIR, etc.) and SFTP-based read/parsing using Rhapsody is an added advantage. Performance Metrics: Timely delivery on the user stories Able to adapt to a fast changing and evolving technical environment. Able to grasp the proposed solution and actively participate in solutioning. Able to communicate the blockers and be able to troubleshoot the problem Able to work to independently in solving low to medium technical problems Able to communicate very everyday Team player and able to create a positive, collaborative environment.