Position Summary

Azure Data Engineer with robust hands-on experience in Azure Data Factory, Databricks, Azure SQL, SQL scripting and Azure Data Lake is required.

Education BE/B.TechMaster of Computer ApplicationWork Experience Overall minimum 5years of experience in designing and hands-on development in cloud-based analytics solutions. Robust hands-on experience on Azure Data Factory, Databricks , Azure SQL, SQLs scripting and Azure Data Lake is required. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. Working knowledge of Python or Spark-SQL is desirable Communication – Should be able to communicate with customers whether business or IT to gather requirements and lead the review of delivered artifacts and status reporting to customers and the Axtria project manager. Able to convey ideas and information clearly and accurately to self or others whether in writing or verbal.

 

        Functional:

Should have worked on some of the Pharma data sources like IMS, Veeva, Symphony, Cegedim etc. Business processes like alignment, market definition, segmentation, sales crediting, activity metrics calculation Calculation of all sales, activity and managed care KPIs

 

 

Behavioural Competencies OwnershipTeamwork & LeadershipCultural FitMotivation to Learn and GrowTechnical Competencies Problem SolvingLifescience KnowledgeCommunicationAzure Data FactoryAzure DevOpsAzure SQLDatabricksSQL