Junior Data engineer 3
- Canada
Full-time
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Job details
- Job type
- Full-time
- Experience
- Experience: 1–4 Years
- Posting language
- English
- Posted
Original job description
🔹 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
More about this job
Responsibilities
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.
Skills
- 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
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
Keywords
- Data Engineering
- 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
- Kafka
- CI/CD
- Git
- ETL/ELT
- Data Warehousing
- Lakehouse Architecture
- Cloud Computing
- PGWP
- Open Work Permit