Azure Data Engineering Intern
Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.
The data science team in mammalian development services at Lonza is looking for a highly motivated intern that understands and is passionate about her/his craft. This internship is focused on implementing new architectures for operational data management and handling. We believe that this internship will allow you to apply your education to solve real life problems and turn theory into practice. Here, with us, you will find a career path that most inspires you.
What you will be doing:
Data Pipeline Development: Collaborate with the team to design and build data pipelines that efficiently extract, transform, and load (ETL) data from various sources into Azure-based data storage and analytics platforms.
Azure Services Utilization: Gain hands-on experience with a range of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage to develop scalable and reliable data solutions.
Data Transformation: Assist in transforming raw data into meaningful insights by implementing data transformations, data cleansing, aggregation, and enrichment processes.
Data Modeling: Participate in data modeling activities, including designing and implementing logical and physical data models that align with business requirements and best practices.
Collaboration: Work closely with a team of world class bioprocess scientists and data experts to turn data into actionable insights.
What you will need to be successful in this role:
Basic understanding of data engineering concepts, ETL processes, and databases.
Familiarity with cloud computing concepts and Microsoft Azure services is a plus.
Proficiency in programming languages such as Python, SQL, or Scala.
Interested in understanding the context of Bioprocessing data generation.
Curious, self-driven, analytical and excited to play with data.
Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.
People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.