Senior Data Engineer Jobs Opening in Novartis Healthcare Pvt Ltd at Hyderabad
Senior Data Engineer
Job Description
· Designed and developed ETL pipelines to create fact and dimension tables using complex SQL Script and deployed a functional pipeline to higher environment.
· Designed and developed analysis read datasets (ARD’s) and reporting ready datasets (RRD’s).
· Developed interactive dashboards using Tableau and Excel, ensuring clear insights and user-friendly experiences.
· Experienced in setting test environment and preparing mock data to test ETL and BI applications.
· Good working knowledge with QA Methodology and QA Validations to ensure the Quality.
· Worked experience in agile methodology.
· Experienced in JIRA for backlog management, sprint planning, and tracking deliverables, ensuring seamless execution of data projects.
· Led end-to-end project execution while mentoring junior associates and fostering a high-performance team environment.
· Extensive experience with major pharmaceutical companies, handling diverse data sources (IQVIA LAAD, MIDAS, NPA, C360, APLD, Xponent).
Technical Skills
· ETL & Data Pipelines: Dataiku, SQL, Python
· Data Visualization: Tableau, Excel
· Project Documentation: Confluence, Alation (Data Cataloging & SOP)
· Data Quality & Testing: QA/QC framework for validation
· Cloud & Database Management: Snowflake, AWS S3
· Designed and developed ETL pipelines to create fact and dimension tables using complex SQL Script and deployed a functional pipeline to higher environment.
· Designed and developed analysis read datasets (ARD’s) and reporting ready datasets (RRD’s).
· Developed interactive dashboards using Tableau and Excel, ensuring clear insights and user-friendly experiences.
· Experienced in setting test environment and preparing mock data to test ETL and BI applications.
· Good working knowledge with QA Methodology and QA Validations to ensure the Quality.
· Worked experience in agile methodology.
· Experienced in JIRA for backlog management, sprint planning, and tracking deliverables, ensuring seamless execution of data projects.
· Led end-to-end project execution while mentoring junior associates and fostering a high-performance team environment.
· Extensive experience with major pharmaceutical companies, handling diverse data sources (IQVIA LAAD, MIDAS, NPA, C360, APLD, Xponent).
Technical Skills
· ETL & Data Pipelines: Dataiku, SQL, Python
· Data Visualization: Tableau, Excel
· Project Documentation: Confluence, Alation (Data Cataloging & SOP)
· Data Quality & Testing: QA/QC framework for validation
· Cloud & Database Management: Snowflake, AWS S3
Job Particulars
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