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Data bricks(Jaipur
1 week ago
Overview:
As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using corecloud data warehouse tools (Azure Data Factory, Azure Databricks, Azure SQL DW and other Big Datarelated technologies). In addition to building the next generation of application data platforms (notinfrastructure) and/or improving recent implementations.
Responsibilities:
• Defines, designs, develops and test software components/applications using MicrosoftAzure- Databricks, ADF, ADL, Hive, Python, Databricks, SparkSql, PySpark.
• Expertise in Azure Data Bricks, ADF, ADL, Hive, Python, Spark, PySpark
• Strong T-SQL skills with experience in Azure SQL DW
• Experience handling Structured and unstructured datasets
• Experience in Data Modeling and Advanced SQL techniques
• Experience implementing Azure Data Factory Pipelines using latest technologies andtechniques.
• Good exposure in Application Development.
• The candidate should work independently with minimal supervision.Must Have:
• Hands on experience with distributed computing framework like DataBricks, Hadoop, Hive,Spark-Ecosystem (Spark Core, PySpark, Spark Streaming)
• Willing to work with product teams to best optimize product features/functions (a MUST).
• Professional curiosity and the ability to enable yourself in new technologies and tasks.
• Good understanding of SQL and a good grasp of relational and analytical databasemanagement theory and practice.
• Familiar with the cloud platforms (AWS, Azure, GCP).
• General programming skills (Python, Scala).
• Basic knowledge of Data Warehouses is a nice to have.
Other Details
Keywords : Python, SQL, Pyspark, Spark Ecosystem, Databricks and Azure Data Factory, Data Modelling, ETL Methodology, Synaps . Industry : IT - Software-
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