Software-Engineer--Analytical-Engineering
Core
Develop and maintain core data models and the core data layer to transform raw data into structured, business-ready datasets for self-service analytics and AI-enabled tools.
Role type
Junior analytical engineer (data modeling & pipelines)
Builds
Centralized data-layer, ELT pipelines, and data-products for business intelligence and AI teams
Domain
Pharmaceutical / Data Engineering
Deliverable
production ML models | product features
Required skills
SQL, Python, Spark, DBT, AWS, Airflow, Git, Agile, data modeling, pipeline optimization
Preferred skills
AI/ML fundamentals, predictive modeling, Tableau/Power BI/Looker, Oracle/Redshift/PostgreSQL, JIRA/Confluence
Responsibilities
Collaborate with business to gather requirements and deliver data-products; Develop centralized data-layer at scale; Use ELT framework to transform raw data into contextualized models; Partner with AI/ML teams to deliver data skeletons; Write documented, tested, and DRY code in DBT; Follow analytical lifecycle processes to deliver accurate data on-time; Translate technical complexity for stakeholders.
Seniority
Junior, early-career IC
