Senior Snowflake Data Engineer

We are looking for a skilled Data Engineer with strong experience in Snowflake and DBT to design, build, and optimize scalable data pipelines and modern data warehouse solutions. The ideal candidate should have a solid understanding of data warehousing, ETL processes, and data modeling concepts, along with hands-on experience in transforming and managing large-scale datasets.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT processes
Build and optimize data models using DBT following best practices
Develop and manage data warehouse solutions in Snowflake
Perform data transformations, cleansing, and validations to ensure high-quality data delivery
Collaborate with business analysts, analytics engineers, and stakeholders to understand reporting and analytics requirements
Optimize SQL queries and Snowflake performance for large datasets
Implement testing, documentation, and monitoring for data pipelines and DBT models
Support deployment, troubleshooting, and production issue resolution
Ensure adherence to data governance, security, and coding standards
Participate in peer reviews and contribute to continuous improvement initiatives

Required Skills & Experience

Strong hands-on experience with Snowflake and DBT
Good understanding of Data Warehousing concepts and architectures
Strong knowledge of ETL/ELT processes and data integration techniques
Experience in dimensional data modeling (Star Schema, Snowflake Schema)
Strong SQL skills with query optimization experience
Experience working with large-scale structured and semi-structured data
Familiarity with data pipeline orchestration tools and CI/CD practices
Understanding of data quality, testing, and monitoring frameworks
Good analytical, problem-solving, and communication skills

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or GCP
Exposure to BI/reporting tools such as Power BI, Tableau, or Looker
Knowledge of Python or scripting for automation
Experience working in Agile delivery environments

Experience Required

5–8 years of experience in Data Engineering or related roles

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field