Position Summary

This role will be responsible   for creating Data orchestration with Azure Data Factory Pipelines & Dataflows. Key role is to understand the business requirements and implement the requirements using Azure Data Factory.

Job Responsibilities Understand business requirement and actively provide inputs from Data perspective Understand the underlying data and flow of data Build simple to complex pipelines & dataflows Work with other Azure stack modules like Azure Data Lakes, SQL DW, Should be able to implement modules that has security and authorization frameworks Recognize and adapt to the changes in processes as the project evolves in size and function Knowledge, Skills & Abilities: Expert level knowledge on Azure Data Factory, Databricks, Pyspark Expert level knowledge of SQL, SQL DB & Datawarehouse Knowledge of Azure data lake is required Knowledge of other Azure Services like Analysis Service, SQL Databases, Azure DevOps will be an added advantage Education BE/B.TechMaster of Computer ApplicationWork Experience Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. Independently he/she should be able to create data pipeline design, implement, deliver complex data pipeline code for simple to complex Data Integration/ Data Warehousing project assignments. Other than Azure Data Services Stack, should have expertise and working experience in at least 1 ETL tool like Informatica, Matillion, IICS Should have expertise and working experience in at least 1 DBMS/appliances among Redshift, Netezza, SQL Server, Oracle, Snowflake, HIVE/Bigdata, AzureSQL Behavioural Competencies Teamwork & LeadershipMotivation to Learn and GrowOwnershipCultural FitTalent ManagementTechnical Competencies Lifescience KnowledgeAzure Data FactoryDatabricksPySparkPythonAzure SQLAzure DevOps