Senior Data Engineer

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