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.
Skilled growth opportunities.
Collaborative work environment.
Versatile 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