Description

Databricks, Scala- Data Engineer
 
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

Any Graduate