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:
- EMR
- EC2
- S3
- VPC
- RDS
- Redshift
- AWS Glue
- IAM
- CloudWatch
- CloudFormation
- Experience with:
- Airflow (or AWS Managed Workflows)

Databases

- Experience working with:
- Netezza (Mandatory)
- SQL-based systems:
- SQL Server
- PostgreSQL
- Data warehouses:
- Teradata
- Redshift
- Netezza

ETL Tools

- Hands-on experience with:
- SSIS
- Pentaho or similar ETL tools

Programming & Scripting

- Solid proficiency in:
- SQL
- Shell scripting
- Good to have:
- Python

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:
- EMR
- S3
- EC2
- Redshift
- Glue
- Airflow
- Build and optimize data workflows and orchestration pipelines using Airflow.
- Work with real-time streaming technologies such as:
- Kafka
- Spark Streaming
- 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:
- Developers
- Architects
- Infrastructure teams.

📌 Senior Data Engineer (AWS, Big Data, ETL, Netezza, Spark, Kafka, Data Warehousing) (Toronto)
🏢 Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
📍 Toronto