Description

Key Responsibilities:
 

• Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB.
   
• Collaborate with data analysts, QA and business teams to build scalable data models.
   
• Implement data transformations, testing, and documentation within the DBT framework.
   
• Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning.
   
• Use Python (preferred) for automation, scripting, and additional data processing as needed.
   

Required Skills and Qualification
 

• 4+ years of experience in data engineering or related roles.
   
• Strong hands-on experience with DBT (Data Build Tool) and advanced SQL.
   
• Experience working with Snowflake or similar modern cloud data warehouses.
   
• Good understanding of data modeling concepts (dimensional modeling, normalization).
   
• Strong knowledge of ETL/ELT processes and data pipeline design.
   
• Experience with Python for data processing and automation (preferred but important).
   
• Ability to work with cross-functional teams and deliver scalable data solutions.
   
• Strong analytical and problem-solving skills.
   

Good to have Skills
 

• Experience with other cloud platforms (AWS, Azure, GCP).
   
• Familiarity with data orchestration tools (Airflow or similar).
   
• Knowledge of data governance, testing frameworks, and data quality tools.
   
• Exposure to BI/reporting tools (Power BI, Tableau).
   
• Experience working in Agile/Scrum environments

Key Skills

Education

Bachelor's degree