Data Engineer
Core
Architect and build the central nervous system of the company by designing and constructing a trusted, scalable, and secure data warehouse that empowers all departments to move from intuition to insight.
Role type
Founding Data Engineer (Architect & Builder)
Builds
Enterprise data warehouse on a modern cloud platform, robust ETL/ELT processes, logical and physical data models
Domain
Data Engineering, Cloud Data Platforms, GxP-regulated environments
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data Warehousing architecture, Data Modeling (star schemas, Data Vault), ETL/ELT pipeline development, Advanced SQL, Python programming, Cloud data services
Preferred skills
Pharmaceutical/Life Sciences domain experience, Modern data stack tools (Spark, Airflow), Data visualization tools
Technologies
Azure Synapse, Databricks, Azure Data Factory, AWS Glue, Python, Pandas, PySpark, SQL
Responsibilities
Lead design and deployment of enterprise data warehouse, Develop and implement ETL/ELT processes, Establish and enforce data quality standards, Monitor and optimize data pipelines, Create documentation for data models and pipeline logic
Seniority
Senior, hands-on IC
