Sr Data Engineer

Cyber Space Technologies LLC; Montreal (administrative region); On-site; CAD 90,000 - 130,000; Full time

Job summary

Cyber Space Technologies LLC seeks an experienced Data Engineer in Montreal to design, develop, and maintain scalable data pipelines and data solutions. The role focuses on SQL, Python, ETL/ELT, data warehousing, and cloud platforms to support analytics needs across teams.

You will extract, transform, and load data from multiple sources, build data warehouses and lakes, and optimize SQL queries, Spark/PySpark jobs, and data models. A strong CI/CD and data governance mindset is essential.

Qualifications

• 8+ years of data engineering experience.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Extract, transform, and load data from multiple source systems.
• Develop and optimize SQL queries, stored procedures, and data models.
• Work with structured and unstructured data from various sources.
• Build and maintain data warehouses and data lakes.
• Develop data solutions using Python, SQL, Spark, or PySpark.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Collaborate with Data Analysts, Data Scientists, and business teams to support data requirements.
• Monitor data pipelines and troubleshoot data quality and performance issues.
• Implement data validation, governance, security, and quality standards.
• Automate data workflows and support CI/CD processes.

Skills

Data Engineering

SQL

Python

ETL/ELT

Data Warehousing

Spark/PySpark

Cloud Platforms

Data Modeling

Databricks/Kafka/Airflow

Git/CI/CD

Tools

SQL Server

PostgreSQL

MySQL

Oracle

Snowflake

Job description

We are seeking an experienced 10 Years of Data Engineer to design, develop, and maintain scalable data pipelines and data solutions. The ideal candidate should have strong experience in SQL, Python, ETL/ELT, data warehousing, and cloud platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Extract, transform, and load data from multiple source systems.
• Develop and optimize SQL queries, stored procedures, and data models.
• Work with structured and unstructured data from various sources.
• Build and maintain data warehouses and data lakes.
• Develop data solutions using Python, SQL, Spark, or PySpark.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Collaborate with Data Analysts, Data Scientists, and business teams to support data requirements.
• Monitor data pipelines and troubleshoot data quality and performance issues.
• Implement data validation, governance, security, and quality standards.
• Automate data workflows and support CI/CD processes.

Required Skills

• Strong experience in 8+Data Engineering.
• Proficiency in SQL and Python.
• Experience with ETL/ELT tools and data pipelines.
• Hands-on experience with Apache Spark / PySpark.
• Experience with AWS, Azure, or GCP.
• Knowledge of data warehousing and data modeling.
• Experience with databases such as SQL Server, PostgreSQL, MySQL, Oracle, or Snowflake.
• Familiarity with Databricks, Kafka, Airflow, or similar technologies is a plus.
• Experience with Git and CI/CD is preferred.
• Strong analytical and problem-solving skills.