Job Title: Data EngineerJob Type: Full TimeLocation: Toronto, ON (Onsite)Job DescriptionWe are seeking an experienced Data Engineer with robust data warehouse expertise and extensive experience in the banking and financial services domain. The ideal candidate will have 12+ years of experience in data engineering and hands-on expertise designing and developing scalable data pipelines, data lakes, and data warehouses on AWS.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and workflows on AWSBuild and manage data lakes and data warehouses using Amazon S3 and RedshiftDevelop ETL/ELT processes using AWS Glue, Lambda, Spark, and related technologiesImplement Kafka message processing, batch data ingestion, and business-layer data processingOptimize data ingestion, transformation, and loading processesEnsure data quality, governance, security, performance, and scalabilityMonitor and troubleshoot data pipelines and workflows using AWS servicesAutomate deployments through CI/CD pipelinesCollaborate with clients, data users,



and stakeholders to understand requirementsDevelop reusable data engineering frameworks and design patternsPerform data onboarding using established frameworksAnalyze existing IBM Netezza code and design migration solutions for AWS Data LakeDevelop unit tests and support QA, SIT, and performance testingRequired Skills & Experience12+ years of experience in data engineering/data warehousingStrong experience in the banking and financial services domainHands-on expertise with Amazon S3, AWS Glue, AWS Lambda, Amazon RedshiftExperience with AWS Step Functions, IAM, and CloudWatchStrong ETL/ELT and data pipeline development experienceExperience with IBM Netezza and migration to AWS environmentsKnowledge of Kafka, Spark, and batch data processingStrong understanding of data warehouse architecture and data lake solutionsGood to HaveAWS Solutions Architect or Data Analytics certificationExperience with Airflow or Amazon MWAAExposure to Snowflake, Databricks, or Delta LakeExperience with CI/CD and cloud deployment practices#J-18808-Ljbffr

📌 Data Engineer (Toronto)
🏢 AceStack
📍 Toronto