Job Title: Data Engineer
- (Pyspark & Python) Job

Location:
Montreal, QC (Hybrid) Job Overview: We are seeking a skilled Senior Data Engineer with 5 to 7 years of experience specializing in Python and PySpark. In this role, you will design, build, and optimize robust data pipelines while serving as a primary technical point of contact for clients. The ideal candidate bridges the gap between complex data engineering and strategic client communication.

Key Responsibilities
• Data Pipeline Development: Design, develop, and maintain scalable data processing pipelines using Python and PySpark.
• Client Engagement: Act as the technical face of the team, gathering requirements, presenting data solutions, and managing stakeholder expectations.
• Optimization & Performance: Tune Spark jobs for optimal performance, troubleshooting bottlenecks in large-scale data environments.
• Collaboration: Partner with cross-functional teams, including data scientists, analysts, and project managers,



to deliver business-critical data products. Required Skills & Qualifications
•

Experience:
5–7 years of professional experience in data engineering.
• Core Technical

Skills:
Strong proficiency in Python and hands-on expertise with PySpark (Spark SQL, DataFrames, RDDs).
• Client-Facing

Skills:
Proven experience in client-facing roles, with excellent verbal and written communication skills to articulate technical concepts to non-technical stakeholders.
• Data Ecosystems: Solid understanding of SQL, data warehousing concepts, and cloud data platforms (AWS, Azure, or GCP).
• Software Practices: Familiarity with Git, CI/CD pipelines, and writing clean, maintainable code. Preferred Qualifications
• Experience working in an Agile/Scrum setting.
• Knowledge of orchestration tools like Apache Airflow.

📌 Data Engineer (Montreal)
🏢 Apptad
📍 Montreal