Job DescriptionJob DescriptionJob Title: Platform EngineerLocation: Hybrid (2 days a week in office), Toronto, ONDuration: 06-12 MonthsHourly Pay Rate: 49 CADJob Description:

We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data processing. This role involves working on data platform modernization, cloud migrations, Data Warehousing, and ETL in a quick-paced enterprise environment.

Required Skills & Qualifications (Must-have qualifications that candidates must meet to be considered)

- 10 years of experience in Data Engineering / Big Data / Platform Engineering
- Hands-on experience in AWS and Hadoop ecosystems
- Experience in data migration projects (e.g., Hadoop to AWS, DB migrations)
- Strong understanding of data warehousing concepts and ETL design patterns
- Expertise in query optimization and performance tuning
- Experience supporting production data platforms
- Bachelor’s degree in Computer Science, Engineering, or related field

Preferred Skills & Qualifications (Nice-to-have skills but are not required)




- Experience in Banking / Financial Services domain
- Experience with data lake architecture and governance
- Knowledge of DevOps tools and CI/CD pipelines
- Experience in platform engineering and framework development

Day-to-Day Responsibilities (key tasks and expectations for the role)
- Design, develop, maintain, and support scalable data pipelines using Big Data and AWS technologies
- Lead and support data platform migration initiatives (On-Prem to AWS Cloud), ideally with Netezza background
- Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or similar
- Implement and manage AWS services such as EMR, S3, EC2, Redshift, Glue, and Airflow
- Build and optimize data workflows and orchestration pipelines using Airflow
- Work with real-time streaming technologies such as Kafka and Spark Streaming
- Perform data ingestion, transformation, and validation from multiple data sources
- Optimize SQL queries for performance and scalability
- Monitor system performance, troubleshoot issues, and ensure system reliability
- Collaborate with cross-functional teams including developers, architects, and infrastructure teams

For immediate consideration please click APPLY to begin the screening process with Alex.

📌 Hiring Platform Engineer in Toronto, ON
🏢 Artech
📍 Toronto