Healthcare is Must
PBM experience is desired
Skills must have: Azure SynapseDatabricks SnowFlake Python PySpark(ETL)
Job Title: Azure Data Engineer
Job Details:
Considering Python as the ETL tool for reading data from the source handling datatype and data transformations managing error handling logging and loading data into Databricksmanaged Delta tables the candidate should have strong expertise in Python along with solid knowledge of Databricks and PySpark enabling them to evaluate and perform data transformations within Databricks. They should be proficient in all aspects of Python including classes objects methods dictionaries loops Wheel files and packages and should be able to connect to various data sources including databases and streaming data
Expertise in Azure services such as Azure SQL Database Azure Data Factory Azure Synapse Analytics and Azure Data Lake is also required.
The ideal candidate has extensive experience in data engineering working with largescale data infrastructures and optimizing ETL processes
Expertise in Azure services such as Azure SQL Database Azure Data Factory Azure Synapse Analytics and Azure Data Lake
At least 6 years of experience in data engineering with a focus on building data pipelines
Proven experience with Spark Scala and other related technologies
Familiarity with Could Warehouses data lakes storage formats.
Strong knowledge of data modeling and ETL processes
Experience leading data engineering projects.
Proven experience with Databricks and Apache Spark
Strong proficiency in Python
Experience in Unix shell scripting and scheduling tools
Python
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