Full Stack Analytics Engineer/ Data Engineer (Snowflake, Python, dbt, Tableau)

About the role

Design, develop, and maintain scalable data transformation and analytics pipelines using Snowflake, SQL, Python, and dbt. Perform data extraction, cleansing, preprocessing, validation, and transformation from multiple data sources. Develop complex and optimized SQL queries, stored procedures, views, and data models in Snowflake.

What you'll do

• Design, develop, and maintain scalable data transformation and analytics pipelines using Snowflake, SQL, Python, and dbt
• Perform data extraction, cleansing, preprocessing, validation, and transformation from multiple data sources
• Develop complex and optimized SQL queries, stored procedures, views, and data models in Snowflake
• Build and maintain dbt models, macros, tests, snapshots, and documentation following analytics engineering best practices
• Use Python for data preprocessing, automation, data validation, and analytical workflows

What you need

• 6–11 years in data science & ai
• Python
• Snowflake
• dbt
• Tableau
• Analytics
• SQL
• Any graduate

Good to have

• Data modelling
• ETL
• Data warehousing
• VBA
• Root cause analysis