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Sr. Software Engineer - Azure Experience: 4 - 7 years of Experience What you should have? Azure Data Factory, Azure DevOps CI/CD, Azure Data Lake, Azure Synapse, Azure Databricks, PySpark, GitHub. Need 4+ Years of experience Good analytical skills with excellent knowledge of SQL. Well versed with Azure Services Must have experience and knowledge on ADF, ADLS, Blob storageMust have experience in building data pipelines Hand on development on PySpark, Databricks Experience using software version control tools (Git) Work in Agile methodologies and might be required to perform QA for work done by other team members in the sprint Work with team and assist the Product Owner and technology lead in identifying and estimating data platform engineering Knowledge and ability to setup DevOps and Test frameworks Familiarity with API integration processes Exposure to Power BI, streaming data and other Azure services Career Growth Plan Job Responsibilities : Develop Data pipelines to load data using Azure Data Factory into Azure DataLake, SQL data warehouse Perform Data Model design, ETL/ELT development optimized for efficient storage, access, and computation to serve various Business Intelligence use cases Contribute fully/partially to areas of API integration, End to end Devops automation, test automation, data visualisation (Power BI) and Business intelligence reporting solutionsKnowledge of programming languages such as spark or python Create technical design documentation which includes current and future functionality, database objects affected, specifications, and flows/diagrams to detail the proposed database and/or Data Integration implementation.