Job Description
Position: Automation Quality Engineer/SDET
Description:
ELT processes, data warehousing solutions, and build data lakes.Work with Azure Databricks including cluster management, notebook development, and Delta Lake. Utilize big data technologies such as Hadoop and Spark and data processing frameworks like PySpark. Utilize various Azure services including Azure Data Lake, Azure Synapse, and Azure Data Factory. Design and implement ETL
Requirements: CD pipelines and version control systems like Git. Knowledge of cloud security best practices.Strong experience with Azure Databricks. Proficiency in Hadoop, Spark, and PySpark. Deep understanding of Azure Data Lake, Azure Synapse, and Azure Data Factory. Strong SQL skills and familiarity with NoSQL databases. Experience with CI
Benefits:
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