Data Engineering Lead - Python , Azure Data Bricks

Primary Responsibilities Come up with architecture and design on various aspects like extensibility, scalability, security, design patterns etc., against a predefined checklist and ensure that all relevant best practices are followed Execute POCs to make sure that suggested design/technologies meet the requirements Architecting with modern technology stack and Designing Public Cloud Application leveraging in Azure Possess/acquire solid troubleshooting skills and be interested in performing. Troubleshooting of issues in different desperate technologies and environments Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Graduate degree or equivalent ( Experience - 6+ years ) Solid foundational skills on Data engineering (using on prime & cloud tools) Data Management Data engineering on Azure Azure Databricks Azure Data flow, Azure Functions ANSI SQL, PySpark and Spark SQL - ETL Processes, Databrick DLT (Delta Live table) Unity Catalog integration Orchestrate with Databricks workflow CI/CD and version control Knowledge on Snowflake, RDBMS