Senior Manager - Data Solutions

Summary

20 years of untapped data waiting to be explored. The digital revolution is changing everything, especially in pharmaceuticals, and Novartis has embraced a bold strategy to drive a company-wide digital transformation. With this mission, Data Operations group within BSI is working with the Novartis Business units and industry leading technology partners, to drive the execution of Novartis' data strategy, turning its rich data resources into real strategic assets to drive actionable insights across the organization. This ambition is one of key pillars in the broader digital transformation happening at Novartis to be a 'medicines and data science company.

We are looking for a skilled and enthusiastic Data Engineer with expertise in any of the ETL tools, Databricks, Snowflake SQL, and PySpark to join our innovative team.

As a Data Engineer, you will be responsible for designing, implementing, and optimizing scalable data pipelines, ensuring data quality, and building robust data infrastructure.

You will collaborate closely with data scientists, domain experts, and other stakeholders to ensure the efficient and reliable flow of data across the organization.

About The Role

Key Responsibilities :

• ETL Development : Design, implement, and maintain scalable ETL pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
• Databricks Utilization : Leverage Databricks to develop, optimize, and scale data engineering workflows.
• Data Modelling : Design and implement robust data models to support analytics and reporting needs.
• SQL Proficiency : Write, optimize, and maintain complex SQL queries for data extraction and transformation tasks.
• PySpark Development : Utilize PySpark for big data processing tasks, developing scalable and efficient solutions.
• Data Quality and Validation : Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Data Integration : Integrate data from multiple sources, ensuring data consistency and reliability.
• Collaboration : Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Documentation : Create and maintain comprehensive documentation for data pipelines, data models, and related processes.
• Performance Optimization : Optimize data processing performance by fine-tuning ETL pipelines and data storage solutions.
• Security and Compliance : Ensure compliance with data governance policies and security protocols to protect sensitive and confidential information.
• Continuous Improvement : Stay current with industry trends and emerging technologies, continuously improving data engineering practices.

Education (minimum / desirable)

Bachelor&aposs or master's degree in computer science, Engineering, Information Systems, or a related field.

Experience / Skills

Preferred Qualifications

Why consider Novartis

799 million. That's how many lives our products touched in 2019. And while we're proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this : how can we continue to improve and extend even more people's lives

We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you're given opportunities to explore the power of digital and data. Where you're empowered to risk failure by taking smart risks, and where you're surrounded by people who share your determination to tackle the world's toughest medical challenges.

Imagine what you could do at Novartis!

Commitment To Diversity & Inclusion

Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

Join our Novartis Network : If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here : https : / / talentnetwork.novartis.com / network

Why Novartis : Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together https : / / www.novartis.com / about / strategy / people-and-culture

Join our Novartis Network : Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up : https : / / talentnetwork.novartis.com / network

Benefits and Rewards : Read our handbook to learn about all the ways we'll help you thrive personally and professionally : https : / / www.novartis.com / careers / benefits-rewards

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Skills Required

Git, Bitbucket, Mysql, Postgresql, Pyspark, Etl Tools, Databricks, Oracle, Sql