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
- 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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