Solution Design Expert Data Engineering

Job Description

20 years and 2 million-years of patient data waiting for you to unlock the next breakthrough in medicine.Novartis Business Services IT (NBS IT) is working to support Novartis to deliver better patient outcomes through innovative use of information and technology. As technology is reshaping the healthcare industry, IT will be a differentiator for our businesses, inspiring new ideas and enabling Novartis to reimagine medicine. NBS IT offers this extraordinary work experience with a real opportunity to develop in a highly fast-paced technology-driven environment where collaboration and innovation are at the heart of who we are and what we do. Your responsibilities include, but are not limited to:- Collaborate with Full Stack Engineering team to meet CI/CD requirements and ensure smooth deployment of Data Engineering components. Contribute in Data Model design, including lineage, cataloguing and monitoring- Ensure that system designs align with solution architecture design (i.e. high level conceptual design) and are traceable to functional as well as non-functional requirements in projects/enhancements- Ensure designs produced align with architectural roadmap and support the development, execution and operations of solutions- Ensure system design standards are defined to improve and sustain standardization of solutions. Ensure that solutions meet requirements outlined in the architecture handbook- Support scoping, fit-gap workshops for projects/enhancements, propose solutions for key gaps, provide effort estimations and alignment with business teams. Ensure that project/enhancements work is delivered to agreed time, cost and quality constraints following the release calendars. EEO Statement Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.Minimum requirements What you ll bring to the role:- Education: University degree in Information Systems or comparable education, experience or equivalent. Languages: English fluent spoken and written. Further languages preferred- Experience : 8+ years IT experience, 4+ years Analytics / Big Data experience, proven skills & experience in solution design and / or architecture- Hands on experience for implementation in Spark (either scala or python), Databricks, EMR platform. Experience in AWS services S3, Glue, Athena, Lamdba, Redshift is preferred. Knowledge in Snowflake, Matillion, Graph database is added advantage.- Experience in working in an Analytics / Big Data environment. Experience with code management tools, CI/CD, automated testing- Good level of expertise in Advanced Analytics Technologies. Good knowledge of applications in a Big Data environment.Why consider Novartis 769 million lives were touched by Novartis medicines in 2020, and while we re proud of this, we know there is so much more we could do to help improve and extend people s lives.We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working. We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent whats possible, when we collaborate with courage to aggressively and ambitiously tackle the world s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!Imagine what you could do here at Novartis!Commitment to Diversity & Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse team s representative of the patients and communities we serve.Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our ca,

Keyskills :
sqljavadata warehousinginformaticapythonbig datamodel designsystem designsolution designpatient outcomesdata engineeringbusiness servicesadvanced analyticshealthcare industry