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.

Solid 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)

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📌 Snowflake Data Engineer (Manitoba)
🏢 Tredence
📍 Manitoba