Applications are currently unavailable for this posting.
Browse current jobs- Employment type
- Full-time
- Posting language
- English
- Location requirements
- Country, Ottawa, Ontario, Canada
- Application method
- Apply on LinkedIn (LinkedIn sign-in required)
Job summary
Build and support data engineering solutions using Python, SQL, and distributed data processing technologies. Work with ETL/ELT pipelines, data warehousing, and lakehouse architectures.
Job details
🔹 1. Data Engineer 📍 Canada – Hybrid Experience: 1–3 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
What you’ll do
Build and support data engineering solutions using Python, SQL, and distributed data processing technologies. Work with ETL/ELT pipelines, data warehousing, and lakehouse architectures.
Requirements
The posting seeks a junior data engineer with 1–3 years of experience. Key skills include Python, SQL, PySpark, cloud data platforms, and tools for data integration, orchestration, and version control.
Listed skills
- Python · Preferred
- SQL · Preferred
- Amazon Web Services · Preferred
- Microsoft Azure · 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
- Synapse
- Azure Data Factory
- Redshift
- AWS Glue
- Airflow
Job areas
- Data & Analytics
- Technology
- Software
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