:
Design, develop, and optimize ETL/ELT pipelines using Python and PySpark
Build and manage data workflows on Databricks
Develop and optimize complex SQL queries for data transformation and analytics
Process large-scale structured and semi-structured datasets efficiently
Implement data quality checks, validation, and monitoring
Optimize performance for large datasets and distributed processing
Collaborate with cross-functional teams to understand data requirements
Ensure data security, governance, and best practices
Troubleshoot and resolve data pipeline and performance issues
Document data architecture, pipelines, and operational procedures
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