Snowflake Data Engineer

Role - Snowflake Data Engineer

Location: Remote (Anywhere in Canada)

Experience: 5-8 Years

Employment Type: Full-Time

Job Summary

We are seeking a talented Mid-Level Data Engineer to join our growing data team. The ideal candidate will have hands-on experience in building, optimizing, and maintaining scalable data pipelines and data warehouse solutions. You will work closely with business stakeholders, analytics teams, and data architects to deliver reliable and high-quality data solutions using Python, SQL, Snowflake, DBT , and a BI tool such as Power BI or Tableau .

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines using Python, SQL, and DBT.
• Build and optimize data models within Snowflake to support analytics and reporting requirements.
• Develop reusable and scalable data transformation frameworks using DBT.
• Monitor, troubleshoot, and enhance existing data pipelines for performance and reliability.
• Integrate data from multiple source systems into Snowflake data warehouses.
• Collaborate with BI developers and business users to understand reporting requirements.
• Support dashboard development and data visualization initiatives using Power BI or Tableau.
• Implement data quality checks, validation processes, and monitoring mechanisms.
• Optimize SQL queries and Snowflake workloads for improved performance and cost efficiency.
• Participate in code reviews, documentation, and best practice adoption.

Required Skills

• 5-8 years of experience in Data Engineering or related roles.
• Strong programming experience in Python .
• Advanced proficiency in SQL for data extraction, transformation, and optimization.
• Hands-on experience with Snowflake Data Warehouse.
• Strong experience with DBT (Data Build Tool) for data transformation and modeling.
• Experience with Power BI or Tableau for reporting and data visualization.
• Knowledge of ETL/ELT concepts and data warehousing principles.
• Experience working with large-scale datasets and cloud-based data platforms.
• Familiarity with Git and CI/CD practices.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of orchestration tools such as Airflow, Prefect, or Azure Data Factory.
• Understanding of data governance, data quality, and security best practices.
• Exposure to Agile/Scrum development methodologies.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Nice-to-Have Skills

• Snowflake Performance Tuning
• Data Modeling (Star Schema, Dimensional Modeling)
• Data Lake Architecture
• PySpark or Spark
• API Integration Experience