Solid experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift AWS Glue, IAM, CloudWatch, CloudFormation Airflow (or AWS Managed Workflows) Databases Experience working with: Netezza is mandatory SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools Hands-on experience with: SSIS Programming & Scripting Strong proficiency in: SQL Shell scripting Good to have: Python Operating Systems Strong experience in Unix/Linux environments Key Qualifications 10+ years of experience in Data Engineering / Big Data / Platform 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 Qualifications 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. #J-18808-Ljbffr

📌 Fabric Analytics Platform Engineer For Data Lakes-Hybrid (Toronto)
🏢 A leading risk management firm
📍 Toronto