Junior Data engineer 3

Job summary

Build and support data engineering solutions using ETL/ELT processes and cloud data platforms. Work with data warehousing and lakehouse architectures, along with tools for data processing, orchestration, and streaming.

Job details

🔹 1. Data Engineer 📍 Canada – Hybrid Experience: 1–4 Years Key Skills: Python, SQL, PySpark Databricks, Apache Spark, Delta Lake AWS / Azure / GCP Snowflake, BigQuery, Synapse, ADF, Redshift, or AWS Glue Airflow, Kafka, CI/CD, Git ETL/ELT, Data Warehousing & Lakehouse Architecture ✅ Eligibility only Valid PGWP holders or Open work permit Must be authorized to work in Canada Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience

What you’ll do

Build and support data engineering solutions using ETL/ELT processes and cloud data platforms. Work with data warehousing and lakehouse architectures, along with tools for data processing, orchestration, and streaming.

Requirements

Candidates should have 1–4 years of experience and skills in Python, SQL, PySpark, and relevant data engineering technologies. A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience, is required; applicants must be authorized to work in Canada and hold a valid PGWP or open work permit.

Listed skills

• Microsoft Azure · Preferred
• SQL · Preferred
• Amazon Web Services · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• PySpark
• Databricks
• Apache Spark
• Delta Lake
• AWS
• Azure
• Google Cloud Platform
• Snowflake
• BigQuery
• Azure Synapse
• Azure Data Factory
• Amazon Redshift
• AWS Glue
• Airflow

Job areas

• Data & Analytics
• Technology
• Software
• Engineering

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