Senior Data Engineer | AWS Cloud | Big Data | ETL | Netezza | Spark | Kafka | Data Platform Modernization
Job Summary
The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data processing.
This role involves working on data platform modernization, cloud migrations, Data Warehousing, and ETL in a fast-paced enterprise environment.
Required Technical Skills
Cloud Technologies
- Strong experience in AWS Cloud services:
- Airflow (or AWS Managed Workflows)
Databases
ETL Tools
- Hands-on experience with:
- Pentaho or similar ETL tools
Programming & Scripting
Operating Systems
- Strong experience in Unix/Linux environments.
Key Qualifications
- 10+ years of experience in Data Engineering / Big Data / Platform Engineering.
Key Responsibilities
- Design, develop, maintain, and support scalable data pipelines using Big Data and AWS technologies.
- Lead and support data platform migration initiatives (On-Prem to AWS Cloud), ideally with Netezza background.
- Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or similar.
- Implement and manage AWS services such as:
- Build and optimize data workflows and orchestration pipelines using Airflow.
- Work with real-time streaming technologies such as:
- Perform data ingestion, transformation, and validation from multiple data sources.
- Optimize SQL queries for performance and scalability.
- Monitor system performance, troubleshoot issues, and ensure system reliability.
- Collaborate with cross-functional teams including:
