Senior Data Engineer

We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake, Databricks, Python, and SQL to design, develop, and support modern cloud-based data platforms. The ideal candidate will have hands-on experience building scalable data pipelines, developing cloud-native data solutions, and optimizing large-scale data processing environments to support enterprise analytics and business-critical applications.

About the Role

We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake, Databricks, Python, and SQL to design, develop, and support modern cloud-based data platforms.

Responsibilities

• Design, develop, and maintain scalable data solutions using Snowflake and Databricks.
• Build, optimize, and support ETL/ELT pipelines for structured and unstructured data.
• Develop high-quality Python applications, automation scripts, APIs, and data integration services.
• Design and optimize complex SQL queries, stored procedures, views, and data transformations.
• Develop scalable data models and implement data quality, validation, and reconciliation frameworks.
• Collaborate with business analysts, solution architects, data engineers, and application teams to deliver end-to-end data solutions.
• Monitor, troubleshoot, and optimize application performance and large-scale data processing workloads.
• Support CI/CD implementation, automated deployments, testing, and production releases.
• Ensure compliance with enterprise security, governance, audit, and regulatory standards.
• Participate in cloud modernization initiatives and contribute to continuous platform improvements.

Qualifications

• 5+ years of experience in software development, data engineering, or application development.
• 3+ years of hands-on experience with Snowflake and cloud-based data platforms.
• 2+ years of experience developing solutions using Databricks and Apache Spark.
• Strong programming experience with Python (PySpark, Pandas, NumPy, REST APIs).
• Advanced SQL development skills with expertise in query optimization and performance tuning.
• Experience designing and developing ETL/ELT pipelines.
• Strong understanding of data warehousing, dimensional modeling, and data lake architectures.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of Git, CI/CD pipelines, and Agile software development methodologies.
• Experience troubleshooting distributed systems and optimizing database performance.

Required Skills

• Snowflake Data Cloud
• Databricks
• Apache Spark / PySpark
• Python
• SQL
• ETL / ELT Development
• Data Warehousing
• Data Lake Architecture
• Git
• CI/CD
• Azure / AWS / GCP

Preferred Skills

• Snowpark
• Cortex AI
• Databricks AI
• Apache Airflow
• Azure Data Factory
• Kafka
• Power BI
• Tableau

Pay range and compensation package

Location: Montreal, QC, Canada (Hybrid)

Interview Mode: Face-to-Face Interview Required

Equal Opportunity Statement

We are committed to diversity and inclusivity.