Our client is seeking a Data Engineer to join the Business Intelligence Big Data Team. In this newly created role, you will build high-performance data pipelines on the Google Cloud Platform (GCP), collaborating with Data Scientists and stakeholders to enhance analytic capabilities.

Core Responsibilities
Design and develop high-performance data processing and ingestion frameworks.
Partner with Business Analysts to expand data coverage and improve analytic depth.
Deliver clean, defect-free code, participate in peer reviews, and provide post-deployment support.
Research and recommend emerging technologies to optimize the Big Data workplace.
Independently resolve complex development issues within a large-scale IT landscape.

Technical Requirements
GCP Expertise: Hands-on experience with BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.




Proficiency in Apache Spark (using Scala or PySpark).
3+ years of experience with mainstream languages such as Python, Java, or Scala.
Demonstrated experience developing scalable Big Data ingestion frameworks.
Experience in writing ETLs for data ingestions from multiple enterprise data sources / databases.

Key Competencies
Solid analytical skills specifically tailored to "Big Data" environments.
Ability to take initiative and learn current technical standards and processes quickly.
Motivation to work independently on multifaceted, complex projects.

Pay: $45.00-$55.00 per hour

Work Location: Hybrid remote in Mississauga, ON

📌 Data Engineer Mississauga
🏢 MSi
📍 Mississauga