Azure Data Engineer

Role Description: Required skills - Azure SQL DB, Azure Data Factory, Synapse Analytics, Power BI,Azure Data Lake, PySpark, SparkSQL Python Minimum 6-8 years of relevant experience working as Azure analytics developerUnderstand business requirements and actively provide inputs from Data perspective.Understand the underlying data and flow of dataShould be able to implement modules that has security and authorization frameworksMonitor ADF Synapse pipelines and retrigger basis on application functionalityProduce unit tests for Spark transformationsSpark Database query tuning and performance optimizationAdvance knowledge and hands on experience with Azure SQL DB, ADF, Synapse Analytics and Power BIAble to analyze and understand complex dataKnowledge of Azure Data Lake is required and Azure Services like SQL database and ADO.Ability to debug existing notebook and suggest solutions for bug fixes and minor enhancements.Ability to understand the business requirement and create pipelines, notebooks, link with parent notebook and test the code changes end to end.Expertise in Python, PySpark, SparkSQLHave a good understanding of the concepts of Data Warehousing.Analyzing the defects and its impact, proposing workaround for the issue.Develop, customize, and manage applications that integrate with Azure cloud services.Application Development and Support experienceWork in agile model and provide quick solutions that are efficient and compliant to organization guidelines.Be a subject matter expert.

Competencies: Digital : Python, Digital : Microsoft Power BI, Digital : PySpark, Microsoft Fabric, Azure Data Factory

Experience (Years): 8-10

Essential Skills: Required skills - Azure SQL DB, Azure Data Factory, Synapse Analytics, Power BI,Azure Data Lake, PySpark, SparkSQL Python Minimum 6-8 years of relevant experience working as Azure analytics developerUnderstand business requirements and actively provide inputs from Data perspective.Understand the underlying data and flow of dataShould be able to implement modules that has security and authorization frameworksMonitor ADF Synapse pipelines and retrigger basis on application functionalityProduce unit tests for Spark transformationsSpark Database query tuning and performance optimizationAdvance knowledge and hands on experience with Azure SQL DB, ADF, Synapse Analytics and Power BI. Able to analyze and understand complex dataKnowledge of Azure Data Lake is required and Azure Services like SQL database and ADO.Ability to debug existing notebook and suggest solutions for bug fixes and minor enhancements.Ability to understand the business requirement and create pipelines, notebooks, link with parent notebook and test the code changes end to end.Expertise in Python, PySpark, SparkSQLHave a good understanding of the concepts of Data Warehousing.Analyzing the defects and its impact, proposing workaround for the issue.Develop, customize, and manage applications that integrate with Azure cloud services.Application Development and Support experienceWork in agile model and provide quick solutions that are efficient and compliant to organization guidelines.Be a subject matter expert