Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Microsoft Azure Databricks
Good to have skills : Databricks Unified Data Analytics Platform, Databricks Unity Catalog, PySpark
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Full Stack Engineer, you will be responsible for developing and engineering the end-to-end features of a system. A typical day involves collaborating with cross-functional teams to design and implement innovative solutions that enhance user experience and optimize backend processes. You will leverage new technologies to address complex business challenges while maintaining a cloud-first and agile approach, ensuring that the services provided to clients are continuously improved and aligned with their needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Engage in code reviews and provide constructive feedback to peers. - Collaborate with stakeholders to gather requirements and translate them into technical specifications. Must have : • Proficiency in programming languages such as Python, SQL, and experience with big data technology - Spark. • Experience with cloud platforms mainly on Microsoft Azure. • Experience on Microsoft Azure Databricks and Azure Data Factory. • Experience with CI/CD processes and tools, including Azure DevOps, Jenkins, and Git, to ensure smooth and efficient deployment of data solutions. • Familiarity with APIs to push and Pull data from data systems and Platforms. • Familiarity with understanding software architecture High level Design document and translating them to developmental tasks. • Familiarity with Microsoft data stack such as Azure Data Factory, Azure Synapse, Databricks, Azure DevOps and Fabric / PowerBI. Nice to have: • Experience with machine learning and AI technologies • Data Modelling & Architecture • ETL pipeline design • Azure DevOps • Logging and Monitoring using Azure / Databricks services • Apache Kafka15 years full time education

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