Description et exigences de la tâche
Your mission would be:
• Collaborate with experienced data engineers and business teams to assist in understanding data requirements, especially in areas like bioinformatics, omics, clinical data, and more.
• Learn and assist in the design, development, and optimization of data pipelines, architectures, and data sets. Support the efficient data ingestion, transformation, and reliable delivery of data.
• Familiarize yourself with data integration technologies, ETL / ELT processes, and modern data engineering tools. Gain hands-on experience with tools such as Informatica/IICS to create cutting-edge solutions.
• Assist in tasks related to the life-cycle management of deployed data assets and products, including monitoring and troubleshooting under the guidance of senior team members.
• Learn about and adhere to global data engineering standards, ensuring alignment with data architecture, platform, quality, and governance principles.
• Explore and develop foundational knowledge in data warehouse/lake solutions, data mesh architectures, and distributed processing technologies (e.g., Spark, Hadoop, Kafka).
• Gain familiarity with cloud technologies, with a focus on AWS, to support the development and maintenance of modern cloud-native data platforms.
• Build proficiency in SQL (preferably in Snowflake) and relational/non-relational databases. Use programming languages such as Python, Shell scripting, and Scala/Java.
Your profile:
• Bachelor's/master’s degree in computer science, engineering, mathematics, or a related field.
• Proven experience in data engineering or a related field.
• A strong passion for data engineering and a desire to learn and grow in the field.
• Eagerness to work collaboratively in cross-functional teams and learn from experienced data professionals.
• Basic understanding of data concepts and an analytical mindset.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and a willingness to learn how to convey technical concepts to diverse stakeholders.
• Ability to adapt to a fast-paced, dynamic work environment.
• Interest in data integration technologies, cloud platforms, and data engineering tools.
Let's meet!
Do you like our common project?
Apply here and join our team!
Our Advantages
• A tailored CARE policy deployed by our HR teams for our employees
• Our Diversity Charter
• Activities among colleagues such as Teambuilding or Happy Hours
