Role : SSE – Azure Data EngineerPrimary Skill : Strong ADF, Pyspark and SQL skillsExperience : 5-7 Years of Experience Job Responsibilities/KRAs:1. Design & Develop the ETL2. Good experience in writing SQL, Python and Pyspark programming3. Create the Pipelines (simple and complex) using ADF4. Work with other Azure stack modules like Azure Data Lakes, SQL DW5. Must be extremely well versed with handling large volume of data6. Understand the business requirements for Data flow process needs7. Understand requirements, functional and technical specification documents8. Development of mapping document and transformation business rules as per scope and requirements/Source to target9. Responsible for continuous formal and informal communication on project status10. Good understanding of JIRA stories process for SQL development activitiesDesired Skill, Experience, Qualifications, and Certifications:Must Have:1. Overall, 4+ years of developer skills with SQL, Python with Spark (Pyspark)2. Experience in Azure Data Factory, Data Sets, Data Frame, Azure Blob & StorageExplorer3. Implement data ingestion pipelines from multiple data sources using ADF, ADB (Azuredata bricks)4. Experience in creating Data Factory Pipelines, custom Azure development, deployment,troubleshoot data load / extraction using ADF5. Extensive experience on SQL, python, Pyspark in Azure databricks6. Able to write Python code in Pyspark frame by using Dataframes7. Have good understanding on Agile/Scrum methodologies.