AWS Data Engineer – Netezza Migration Location:Toronto, ON (Hybrid – 2 days/week onsite)Duration:12 MonthsWork Style:HybridRole Summary We are seeking a highly experiencedCloud Data Engineerwith strong expertise indata warehousing, AWS cloud services, and legacy data migration (IBM Netezza) . The candidate will design, develop, and maintain scalable data pipelines and cloud-based data solutions for a large enterprise banking environment.This is ahands‑on engineering rolerequiring deep technical expertise in AWS data services, ETL/ELT processes, and data architecture design.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and workflows on AWSBuild and manage data lakes (S3) and data warehouses (Redshift)Develop ETL/ELT processes using AWS Glue, Lambda, and SparkWork with batch and streaming data ingestion (including Kafka-based pipelines)Optimize data ingestion, transformation, and loading performanceEnsure data quality, governance, security, and compliance standardsMonitor, troubleshoot, and support data pipelines in productionAutomate deployments using CI/CD pipelinesSupport migration of legacy systems (IBM Netezza) to AWSCollaborate with stakeholders to gather data requirements and build reusable design patternsPerform unit testing and support QA, SIT, and performance testingEnsure smooth production deployment and stability of data solutionsRequired Technical SkillsAWS S3 (Data Lake architecture)AWS Glue (ETL development)AWS LambdaAmazon RedshiftAWS Step FunctionsAWS IAM & CloudWatchIBM Netezza (migration experience required)Required Experience8+ years of experience in Data Engineering / Data Warehouse developmentStrong experience in Banking / Financial domain preferredHands‑on experience in AWS cloud data engineering stackExperience working in enterprise‑scale data environmentsStrong understanding of ETL frameworks and data architecture patternsPreferred SkillsKafka / streaming data processingCI/CD pipelines for data platformsPerformance tuning and cost optimization in AWSExperience working in regulated enterprise environments (BFSI)#J-18808-Ljbffr