Together, we can beat cancer.
At Varian, a Siemens Healthineers Company, we bring together the world's best talent to realize our vision of a world without fear of cancer. Together, we work passionately to develop and deliver easy-to-use, efficient oncology solutions.
We are part of an incredible community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what’s possible, to improve people’s lives around the world. We embrace a culture of inclusivity in which the power and potential of every individual can be unleashed. We spark ideas that lead to positive impact and continued success.
If you want to be part of this important mission, we want to hear from you.
Responsibility
• Develop and implement a comprehensive data strategy that aligns with the organization's goals.
• Define data architecture standards, principles, and guidelines.
• Responsible for defining and designing solution for enterprise level Data Platform and data product.
• You will be hands on and work closely to guide a team of Data Engineers in the associated data maintenance, integrations, enhancements, loads and transformation processes for the organization.
• Own and drive the evaluation of data management technologies and lead the implementation with a high bar of performance, scalability, and availability standards.
• Design and optimize the systems for speed, efficiency, and reliability.
• Ensure data security and privacy compliance with relevant regulations and standards.
• Implement security measures to protect sensitive data from breaches and unauthorized access.
• Provide technical guidance and mentorship to junior data engineers and developers.
Required Skills / Experience
• Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem
• Data modelling experience – relational and dimensional with consumption requirements (reporting, dashboarding, and analytics)
• Able to apply technical knowledge to architect and design solutions that meet business needs, create Data Engineering & Analytics roadmaps, drive POCs and MVPs, and ensure the long-term technical viability of Data Products
• Experience using and developing with ETL tools like Azure Data Factory, SSIS, Databricks/Spark etc.
• Create and implement data models, design databases, and ensure data security and availability.
• Experience in Java/.net, Scala, or Python technologies and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting.
• Experience with SQL, Multi-threading, Message Queuing & Distributed Systems.
• Effective communication and collaboration skills to work with both technical and non-technical stakeholders.
• Flexible to work with global offices across several time zones.
• Outstanding problem-solving skills and the ability to navigate complex data challenges
• Experience integrating AI with Data Products
Responsibility
- Develop and implement a comprehensive data strategy that aligns with the organization's goals.
- Define data architecture standards, principles, and guidelines.
- Responsible for defining and designing solution for enterprise level Data Platform and data product.
- You will be hands on and work closely to guide a team of Data Engineers in the associated data maintenance, integrations, enhancements, loads and transformation processes for the organization.
- Own and drive the evaluation of data management technologies and lead the implementation with a high bar of performance, scalability, and availability standards.
- Design and optimize the systems for speed, efficiency, and reliability.
- Ensure data security and privacy compliance with relevant regulations and standards.
- Implement security measures to protect sensitive data from breaches and unauthorized access.
- Provide technical guidance and mentorship to junior data engineers and developers.
Required Skills / Experience
- Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem
- Data modelling experience – relational and dimensional with consumption requirements (reporting, dashboarding, and analytics)
- Able to apply technical knowledge to architect and design solutions that meet business needs, create Data Engineering & Analytics roadmaps, drive POCs and MVPs, and ensure the long-term technical viability of Data Products
- Experience using and developing with ETL tools like Azure Data Factory, SSIS, Databricks/Spark etc.
- Create and implement data models, design databases, and ensure data security and availability.
- Experience in Java/.net, Scala, or Python technologies and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting.
- Experience with SQL, Multi-threading, Message Queuing & Distributed Systems.
- Effective communication and collaboration skills to work with both technical and non-technical stakeholders.
- Flexible to work with global offices across several time zones.
- Outstanding problem-solving skills and the ability to navigate complex data challenges
- Experience integrating AI with Data Products
Varian is required to comply with all local and applicable regulations that may be associated with vaccine requirements for certain roles.
Fighting cancer calls for big ideas.
We envision a world without fear of cancer. Achieving this vision takes dedication and commitment from all of us, every single day. That's why we celebrate and value the distinctly beautiful and intersectional identities of each of our employees. We are a mirror of our patient-base, which allows us to innovate. Big ideas come from everywhere, and the best ideas are fostered by our unique individual experiences. At Varian, we encourage you to bring your whole self to work and believe your bold and authentic perspective will help to power more victories over cancer.
#TogetherWeFight
Privacy Statement
Top Skills
What We Do
At Varian, a Siemens Healthineers company, we envision a world without fear of cancer.
For more than 70 years, we have developed, built and delivered innovative cancer care technologies and solutions for our clinical partners around the globe to help them treat millions of patients each year. With an Intelligent Cancer Care approach, we are harnessing advanced technologies like artificial intelligence, machine learning and data analytics to enhance cancer treatment and expand access to care. Our 10,000 employees across 70 locations keep the patient and our clinical partners at the center of our thinking as we power new victories in cancer care. Because, for cancer patients everywhere, their fight is our fight.
