AWS Data Engineer – Netezza Migration
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Job Summary
AWS Data Engineer Netezza Migration
Role Summary
We are seeking a highly experienced Cloud Data Engineer with strong expertise in data 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 a hands-on engineering role requiring deep technical expertise in AWS data services ETL/ELT processes and data architecture design.
Key Responsibilities
- Design develop and maintain scalable data pipelines and workflows on AWS
- Build and manage data lakes (S3) and data warehouses (Redshift)
- Develop ETL/ELT processes using AWS Glue Lambda and Spark
- Work with batch and streaming data ingestion (including Kafka-based pipelines)
- Optimize data ingestion transformation and loading performance
- Ensure data quality governance security and compliance standards
- Monitor troubleshoot and support data pipelines in production
- Automate deployments using CI/CD pipelines
- Support migration of legacy systems (IBM Netezza) to AWS
- Collaborate with stakeholders to gather data requirements and build reusable design patterns
- Perform unit testing and support QA SIT and performance testing
- Ensure smooth production deployment and stability of data solutions
Required Technical Skills
- AWS S3 (Data Lake architecture)
- AWS Glue (ETL development)
- AWS Lambda
- Amazon Redshift
- AWS Step Functions
- AWS IAM & CloudWatch
- IBM Netezza (migration experience required)
Required Experience
- 8 years of experience in Data Engineering / Data Warehouse development
- Strong experience in Banking / Financial domain preferred
- Hands-on experience in AWS cloud data engineering stack
- Experience working in enterprise-scale data environments
- Strong understanding of ETL frameworks and data architecture patterns
Preferred Skills
- Kafka / streaming data processing
- CI/CD pipelines for data platforms
- Performance tuning and cost optimization in AWS
- Experience working in regulated enterprise environments (BFSI)
Required Skills:
60-70
Required Education:
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