Senior Analytics Engineer
Core
Design and maintain dimensional data models and scalable data products on Databricks to enable Manufacturing and Engineering teams to make data-driven decisions.
Role type
Senior Analytics Engineer
Builds
Robust data foundation, data products, automated pipelines, and analytics capabilities for Operations
Domain
Manufacturing / Data Engineering
Deliverable
production ML models | product features
Required skills
Python, PySpark, SQL, dimensional data modeling, ETL pipeline automation, cloud platforms (Azure/AWS/GCP), DevOps/DataOps practices
Preferred skills
Agentic data engineering concepts, Power BI Dataflow, manufacturing domain experience, Databricks reporting/dashboards
Technologies
Databricks, Azure, AWS, Google Cloud, Power BI
Responsibilities
Design and maintain dimensional data models; Create and manage data products; Transform data into scalable solutions; Support development of automated pipelines and APIs; Contribute to data engineering standards; Help teams identify performance improvement opportunities
Seniority
Senior, hands-on IC