
Databricks
1 day ago
**Job Summary**
**Responsibilities**
- Lead the design and implementation of data processing pipelines using Spark in Scala and PySpark
- Oversee the administration of Databricks Unity Catalog and manage data governance
- Provide expertise in Delta Sharing and ensure secure data sharing practices
- Develop and maintain Databricks CLI scripts for automation and operational efficiency
- Implement Delta Live Pipelines for real-time data processing and analytics
- Manage risk by identifying and mitigating potential data-related issues
- Integrate Apache Airflow for orchestrating complex data workflows
- Optimize data storage and retrieval using Amazon S3 and Amazon Redshift
- Write efficient and maintainable code in Python for various data processing tasks
- Create and manage Databricks SQL queries for data analysis and reporting
- Ensure data integrity and performance with Databricks Delta Lake
- Develop and monitor Databricks Workflows to automate data tasks
- Collaborate with cross-functional teams to understand business requirements and deliver solutions
- Communicate effectively in English both written and spoken to document processes and interact with stakeholders
- Stay updated with the latest industry trends and best practices in data engineering and Property & Casualty Insurance
**Qualifications**
- Possess strong technical skills in Spark in Scala PySpark and Databricks ecosystem
- Have experience with Delta Sharing Databricks Unity Catalog Admin and Databricks CLI
- Demonstrate expertise in Delta Live Pipelines and Structured Streaming
- Show proficiency in Risk Management and Apache Airflow
- Be skilled in using Amazon S3 and Amazon Redshift for data storage solutions
- Have advanced knowledge of Python for data processing
- Be experienced in Databricks SQL Databricks Delta Lake and Databricks Workflows
- Have a background in Property & Casualty Insurance
- Be proficient in English for effective communication
- Be able to work in a hybrid model with day shifts
- Have a minimum of 8 years and a maximum of 12 years of relevant experience
- Be detail-oriented and capable of managing multiple tasks simultaneously
- Be committed to continuous learning and professional development.
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