Data Engineer

📋 Description Design, build, and optimize scalable data integration pipelines from various sources (cloud Transform and cleanse raw data into usable formats for advanced analytics and business intelligence. Automate manual data preparation tasks using modern data architectures and tools. Monitor system performance, troubleshoot bottlenecks, and optimize workflows for maximum efficiency. Ensure strict data integrity by implementing robust quality checks and governance standards. Partner with data scientists and analysts to optimize ML models and empower business stakeholders 🎯 Requirements Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related Proven experience in data management (data integration, modeling, optimization, and quality) and Strong background collaborating with cross-functional teams and business stakeholders on enterprise Strong understanding of Data Warehouse, Data Lake/Lakehouse, Data Fabric, Data Mesh, and MPP Experience with SQL, NoSQL, PostgreSQL, Oracle, Hadoop, and Apache tools (Kafka, Airflow, Spark). Intermediate experience with BI tools (PowerBI, Tableau, Looker, etc.) and building data solutions 🎁 Benefits The opportunity to make a difference by helping to bring safe and effective pharmaceutical Join a passionate and collaborative team of experts in clinical research, pharmacovigilance, and Diverse workplace united by shared values: Quality, Integrity and trust, Drive and passion, Agility Growth is expected and every person has room to make a real difference to patients' lives.