Must have at least 8 years of extensive Data Engineering Experience in Databricks ETL/ELT using Data pipelines SQL/Procedure experience
Must have 8 Years of hands-on development proficiency in implementing Databricks solutions using Scala and Spark with Data frames and Notebooks/SQL
Must have 8 Years of hands-on development and performance tuning/enhancement experience in Scala/PySpark and SQL
Must have 8 Years of hands-on development experience in working on Azure Cloud
Must have strong experience with Databricks including developing and optimizing Spark jobs data transformations and data processing workflows
Must have experience and a good understanding on the below topics Databricks Delta Lake storage Unity Catalog Autoloader Lakehouse Architecture Medallion Architecture Databricks Serverless Options. Dataset and Data frame Databricks Clusters Configuration and Sizing Databricks Job Orchestration Spark Structured Streaming
Must have experience with complex and large volume data streaming and data transformations using Azure Databricks
Must have extensive experience in Datawarehouse/Data Lakehouse implementations
Must have experience with monitoring debugging and resolving issues in live Databricks jobs
Must have strong hands-on expertise in troubleshooting DevOps pipelines Azure and AKS services
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