We are looking for an experienced Data Engineer with 5+ years of experience in designing, developing, and maintaining data pipelines and data solutions. The ideal candidate should have strong knowledge of SQL, Python, cloud platforms, and ETL processes.

Responsibilities

- Design, develop, and maintain scalable data pipelines.

- Build and optimize ETL/ELT workflows.

- Work with large datasets using SQL and Python.

- Develop data solutions using AWS or Azure.

- Work with data warehouses such as Snowflake, BigQuery, or Redshift.

- Ensure data quality, accuracy, and security.

- Collaborate with data analysts, data scientists, and business teams.

- Monitor and troubleshoot data pipelines.

- Document data processes and technical solutions.

Required Skills

- 5+ years of experience in Data Engineering.

- Strong knowledge of SQL and Python.

- Experience with ETL/ELT development.

- Experience with cloud platforms (AWS, Azure, or GCP).





- Knowledge of data warehousing and data modeling.

- Experience with Apache Spark or similar data processing tools.

- Familiarity with Airflow, dbt, or other workflow tools.

- Strong problem-solving and communication skills.

Preferred Qualifications

- Experience with Snowflake, Databricks, or BigQuery.

- Knowledge of CI/CD and version control (Git).

- Experience with streaming data or real-time pipelines.

- Bachelor's degree in Computer Science, Engineering, or a related field.

Perks

- Competitive compensation.

- Professional growth opportunities.

- Collaborative work environment.

- Flexible work arrangements, where applicable.

Pay: $105,000.00-$140,000.00 per year

Benefits

- Casual dress

- Company car

- Company events

- On-site parking

- Paid time off

- Work from home

Work Location: In person

📌 Data Engineer (Toronto)
🏢 Triorise It Solutions
📍 Toronto