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Senior Data Engineer (AWS, Big Data, ETL, Netezza, Spark, Kafka, Data Warehousing
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-08-17
Listing for:
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Full Time
position Listed on 2026-08-17
Job specializations:
-
Software Development
AWS, Data Engineering
Job Description & How to Apply Below
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 TechnologiesStrong experience in AWS Cloud services:
- EMR
- EC2
- S3
- VPC
- RDS
- Redshift
- AWS Glue
- IAM
- Cloud Watch
- Cloud Formation
Experience with:
- Airflow (or AWS Managed Workflows)
Experience working with:
- Netezza (Mandatory)
SQL-based systems:
- SQL Server
- PostgreSQL
Data warehouses:
- Teradata
- Redshift
- Netezza
Hands‑on experience with:
- SSIS
- Pentaho or similar ETL tools
Strong proficiency in:
- SQL
- Shell scripting
Good to have:
- Python
Strong experience in Unix/Linux environments.
Key Qualifications- 10+ years of experience in Data Engineering / Big Data / Platform Engineering.
- 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.
Position Requirements
10+ Years
work experience
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