Microsoft Azure Data Engineer
Microsoft Azure Data Engineer
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Job Description
Microsoft AzureDigital
6-9 yrs
Data Engineer - Databricks
- 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
- The candidate should be able to provide Data Ingestion Streaming and Transformations solutions and do development work.
- Experience in Apache Big Data implementations 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.
- Strong critical thinking communication and problem-solving skills is essential.
AZURE CLOUD , SQL , AZURE , R , DATA TRANSFORMATIONS , JAVA , KUBERNETES , DATA PROCESSING , DEVOPS , DOCKER , PYSPARK , SPARK
Employment Type
Full Time
