Job Description 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 workplace.
Formation 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 Strong 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.
Requirements Sailpoint
📌 Senior Data Engineer (AWS, Big Data, ETL, Netezza, Spark, Kafka, Data Warehousing) (Toronto)
🏢 Astra North Infoteck
📍 Toronto
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