Hiring: Senior Data Engineer (ETL & AWS)
Location: Toronto, ON (Hybrid – 1 day onsite per week)
We are looking for an experienced Senior Data Engineer with strong expertise in ETL development, AWS cloud services, and contemporary data engineering practices to join a high-impact enterprise team.
Key Requirements 10+ years of Data Engineering and ETL experience
Strong hands-on experience with Informatica IICS / IDMC
Advanced SQL and RDBMS experience (PostgreSQL, Oracle)
Strong Python development skills
Hands-on experience with AWS services including S3, Lambda, Glue, Redshift, Step Functions, and CloudWatch
Experience building scalable ETL/ELT pipelines and data warehouses
Knowledge of Spark/PySpark for large-scale data processing
Experience with CI/CD, Git, CloudFormation, and Agile methodologies
Understanding of data governance,
security, metadata management, and data quality practices
Responsibilities Design, develop, and optimize scalable data platforms and pipelines
Build batch and real-time data integration solutions
Collaborate with business and technical stakeholders to deliver data-driven solutions
Lead technical initiatives and mentor junior team members
Implement best practices for data engineering, testing, security, and deployment
Support production environments and participate in on-call rotations when required
AWS Certifications (Data Engineer, Solutions Architect, etc.) are highly desirable.