Analytics Engineer PL
Core
Transform raw data into reliable, scalable analytical datasets and models to support consistent metrics and data products.
Role type
Senior Analytics Engineer
Builds
Analytical data models, datasets, and semantic layers for BI and analytics consumption
Domain
Data & Analytics / Insurance
Deliverable
production ML models | product features
Required skills
SQL, Python, Databricks (Metric Views, Notebooks, Workflows, SQL, Delta Lake), Data Modeling, Semantic Layer Design, Spark/PySpark, Cloud Platforms (AWS/Azure/GCP), Git
Preferred skills
Power BI, Orchestration Tools, Data Governance, Observability, Unity Catalog, Self-service Analytics
Technologies
Databricks, Delta Lake, Spark, PySpark, AWS, Azure, GCP, Git, Power BI
Responsibilities
Build and evolve analytical data models and datasets for BI consumption; Define and evolve the medalion architecture; Translate business needs into standardized metrics and rules; Optimize query performance on Databricks/Delta Lake; Promote modeling best practices and data adoption
Seniority
Senior, hands-on IC