Related skills
sql python databricks machine learning pyspark📋 Description
- Lead design and implement data science on Azure Fabric and Databricks.
- Develop data processing, identity resolution, and entity linking pipelines.
- Build data warehouse and analytics-ready data models.
- Deliver scalable, production-grade data solutions with teams.
- Collaborate with business, engineering, and analytics teams.
- Improve data quality and governance across systems.
🎯 Requirements
- 5+ years data engineering on Azure Databricks.
- Deep Databricks, data modeling, and applied data science.
- Experience building ETL/ELT pipelines from multiple sources.
- Strong Python, SQL, and PySpark skills.
- Delta Lake, Delta Live Tables, and MLflow experience.
- Identity resolution and data linking expertise.
🎁 Benefits
- Medical, dental, and vision insurance.
- 401(k) plan with employer match.
- Tuition reimbursement and career development.
- Collaborative, inclusive culture with growth focus.
- Flexible work environment and supportive teammates.
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