Azure Fabric Data Engineer | 5 to 8 years | 25 to 28 LPA | Bangalore
NewBe an early applicantSummary
Mid-to-senior Azure data engineer role (5-8 years experience) paying 25-28 LPA, focused on building and debugging data pipelines with Azure Fabric, Databricks, Data Factory, PySpark, Synapse and SQL. DP-203 and Databricks Data Engineer Professional certifications are required.
Azure Fabric Data Engineer | 5 to 8 years | 25 to 28 LPA | Bangalore
Mandatory skill sets: Azure Databricks, Pyspark, Datafactory, Azure Fabric
Preferred skill sets: Azure Databricks, Pyspark, Datafactory, Python, Azure Devops
Must have: •Candidates with minimum 3 years of relevant experience for 5-8 years of total experience. •Deep expertise with technologies such as Data factory, Data Bricks (Advanced), Azure Fabric, SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services. •Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level) •Strong troubleshooting and debugging skills. •Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines. •Experience in writing complex PySpark queries to perform data analysis.
Mandatory skill sets: Azure Databricks, Pyspark, Datafactory, Azure Fabric
Preferred skill sets: Azure Databricks, Pyspark, Datafactory, Python, Azure Devops
Must have: •Candidates with minimum 3 years of relevant experience for 5-8 years of total experience. •Deep expertise with technologies such as Data factory, Data Bricks (Advanced), Azure Fabric, SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services. •Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level) •Strong troubleshooting and debugging skills. •Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines. •Experience in writing complex PySpark queries to perform data analysis.