Big Data Engineer

Big Data Engineer Location: Hybrid (Toronto, ON) Employment Type: Permanent, Full-Time Salary: $120,000 CAD Our Client: Large global enterprise client. Key Responsibilities Design, build, and optimize scalable data pipelines and ETL processes. Develop and maintain cloud-based data solutions using AWS and modern big data technologies. Support data integration, performance optimization, and platform reliability. Collaborate with cross-functional teams to deliver high-quality data solutions. Contribute to continuous improvement of data engineering best practices. Qualifications 5+ years of IT experience, including 4+ years working with Big Data technologies. Strong experience with AWS services and Snowflake. Proficiency in Python, Scala, Java, or Shell scripting. Experience building and optimizing ETL pipelines and data warehouse solutions. Knowledge of Spark, Hive, SQL, and Agile development practices. Experience with Kafka, Terraform, or Ansible is considered an asset. isgSearch does not use artificial intelligence throughout the hiring process.

The role involves designing, building, and optimizing scalable data pipelines and ETL processes using cloud-based solutions. You will also collaborate with cross-functional teams to ensure platform reliability and continuous improvement of data engineering practices.

Candidates must have over 5 years of IT experience, specifically including 4+ years with Big Data technologies. Proficiency in AWS, Snowflake, and programming languages like Python, Scala, or Java is required.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Big Data
• AWS
• Snowflake
• Python
• Scala
• Java
• Shell scripting
• ETL
• Data Warehousing
• Spark
• Hive
• SQL
• Agile
• Kafka
• Terraform
• Ansible

• Data & Analytics
• Technology
• Software
• Engineering

Expérience minimale

5+ ans

Postuler avant le

21 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Not Applicable