Data Engineer
Core
Build, manage, and optimize data integration pipelines and infrastructure to drive enterprise-wide analytics and business intelligence initiatives.
Role type
Data Engineer
Builds
Scalable data integration pipelines, analytical platforms, and data solutions for AI, ML, and BI initiatives.
Domain
Biopharmaceuticals / Clinical Research / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data Warehouse, Data Lake/Lakehouse, Data Fabric, Data Mesh, MPP engines, SQL, NoSQL, PostgreSQL, Oracle, Hadoop, Apache Kafka, Apache Airflow, Apache Spark, Python, R, Databricks, TensorFlow, SAS, PowerBI, Tableau, Looker
Preferred skills
Master's degree in Computer Science, Data Science, or Software Engineering
Technologies
SQL, NoSQL, PostgreSQL, Oracle, Hadoop, Apache Kafka, Apache Airflow, Apache Spark, Python, R, Databricks, TensorFlow, SAS, PowerBI, Tableau, Looker
Responsibilities
Design and build scalable data integration pipelines from cloud, on-premise, and API sources; Transform and cleanse raw data for analytics; Automate manual data preparation tasks; Monitor system performance and troubleshoot bottlenecks; Implement robust data quality checks and governance standards; Partner with data scientists and analysts to optimize ML models.
Seniority
Mid-level to Senior, hands-on IC
