Description

Must have atleast 8+ years of extensive Data engineering experience in Databricks, ETL/ELT using data pipelines, SQL/Procesurr 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 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 implementation Must have experience with monitoring, debugging, and resolving issues in kive Databricks jobs Must have strong hands on expertise in troubleshooting devops pipelines, azure , and AKS services The candidate shd be able to provide data ingestion, streaming and transformations solutions and do development woek Experience with apache big data implementation with programming proficiency like pyspark, R or Java prior to Databricks is advantageous Good to have experience with containerization technologies such as docker and kubernetes

Key Skills

Education

Bachelor's degree