Found Description
Essential Technical Skills
- Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns
- PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization
- Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration
- Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration
- Data Modelling: Experience implementing data models including dimensional modeling, data vault, or lakehouse architectures
- Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques
- Python: Strong Python programming skills for data processing and automation
- SQL proficiency for data querying and...