Senior Snowflake Data Engineer

Senior Snowflake Data Engineer1

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