IN-Manager_ Data Engineer_Data Analytics_Advisory

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics AI Management Level Manager Job Description Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Must have: Candidates with minimum 5 years of relevant experience for 8-12 years of total experience (Architect / Managerial level). 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, Azure Data Fabric. Must be certified with Databricks Certified Data Engineer Associate/Professional (Architect / Managerial level) AND DP600 - Azure Fabric Analytics Engineer Associate OR DP700 - Azure Fabric Data Engineer Associate. 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 Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics AI Management Level Manager Job Description Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Must have: Candidates with minimum 5 years of relevant experience for 8-12 years of total experience (Architect / Managerial level). 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, Azure Data Fabric. Must be certified with Databricks Certified Data Engineer Associate/Professional (Architect / Managerial level) AND DP600 - Azure Fabric Analytics Engineer Associate OR DP700 - Azure Fabric Data Engineer Associate. 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 Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.