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, Data

Frames, 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 (Pyspark, Python) (Quebec City)
🏢 Apptad
📍 Quebec City