Role Overview: • Hands-on experience with Azure Services: Databricks, Data Factory and DevOps • Proficient in Python, Apache Spark, and PySpark • Write advance and complex SQL queries with solid experience in database management • Develop and maintain data models, data warehouses, and data marts in Snowflake • Automation, build re-usable transformations, performance tuning • Streamline ETL complexity- logics and transformations • Collaborate with data scientists, analysts, and stakeholders to gather requirements and define data models that effectively support business requirements • Demonstrate decision-making, analytical and problem-solving abilities • Strong verbal and written communication skills to manage client discussions • Familiar with working on Agile methodologies - daily scrum, sprint planning, backlog refinement Key Responsibilities & Skillsets: • Azure Databricks ability to create data transformation logics • Strong programming skills in Python and experience with SQL. • Should be able to write complex SQL, Transact SQL, Stored Procedures • ETL tool Azure data factory, Data Bricks • Experience with Data Modelling • DWH - Snowflake • Excellent communication skills and stakeholder management • Ability to work independently in IC role Good to have: • Knowledge on Snowflake platform • Knowledge on PowerBI • Familiarity with CI/CD practices and version control (e.g., Git) • Familiarity with Azure DevOps