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AWS Cloud Data Engineer

Full-time

Acestack

Job Title: AWS Cloud Data Engineer



Job Type: Full Time



Location: Toronto, ON (Onsite) Job Description

We are seeking an experienced AWS Cloud Data Engineer with strong expertise in Data Warehousing, Data Engineering, and AWS Cloud technologies . The ideal candidate will have strong domain knowledge in Banking and Financial Services and hands-on experience designing and implementing large-scale data platforms, data pipelines, migration, and modernization initiatives.

The successful candidate will be responsible for developing scalable AWS data solutions, building enterprise data lakes and warehouses, implementing ETL/ELT processes, and supporting migration from legacy platforms such as IBM Netezza to modern AWS cloud architecture.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and workflows on AWS
  • Build and manage enterprise data lakes and data warehouses using Amazon S3 and Amazon Redshift
  • Develop ETL/ELT processes using AWS Glue, AWS Lambda, Apache Spark, and related technologies
  • Implement batch and streaming data ingestion frameworks
  • Optimize data ingestion, transformation, and loading processes for performance and scalability
  • Monitor, troubleshoot, and support data pipelines and workflows
  • Design cloud-native data solutions following AWS best practices
  • Ensure data quality, governance, security, and compliance standards
  • Implement monitoring using AWS CloudWatch and manage access controls using AWS IAM
  • Improve platform performance, reliability, scalability, and cost efficiency
  • Analyze existing IBM Netezza environments and develop migration strategies to AWS Data Lake architecture
  • Ensure feature parity and optimal performance during migration and modernization initiatives
  • Support deployment, production releases, and post-deployment validation
  • Perform unit testing and support QA, SIT, performance, and UAT activities
  • Automate deployment processes using CI/CD pipelines
Required Skills & Experience
  • Extensive experience in Data Engineering, Data Warehousing, and AWS Cloud
  • Strong experience with Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift
  • Experience with AWS Step Functions, IAM, and CloudWatch
  • Strong knowledge of ETL/ELT design and development
  • Experience designing scalable data lakes and data warehouse architectures
  • Hands-on experience with data migration and modernization
  • Experience working with IBM Netezza and migrating workloads to AWS
  • Experience with Apache Spark and large-scale data processing
  • Strong understanding of CI/CD pipeline implementation
  • Experience with data security, governance, quality, and compliance
  • Strong Banking and Financial Services domain knowledge
  • Excellent troubleshooting, communication, and problem-solving skills
Vacancy posted 2 days ago
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