Closed listing
Senior Platform Engineer-Netezza
- Toronto, ON, Canada
$90,000 to $105,000 CAD / year · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $90,000 to $105,000 CAD / year
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Job Title :- Senior Platform Engineer-Netezza
Location :- Toronto ,ON
Must have skill:-
Netezza ,Airflow, Kafka, Spark Streaming, and AWS EMR experience.
Job Summary
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. 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.
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)
- 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, and Airflow
- Build and optimize data workflows and orchestration pipelines using Airflow
- Work with real-time streaming technologies such as Kafka and 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, and infrastructure teams
More about this job
Responsibilities
The role involves designing, developing, and maintaining scalable data pipelines while leading cloud migration initiatives from on-premise to AWS. You will also manage ETL/ELT processes and optimize data workflows using tools like Airflow and Spark Streaming.
Requirements
Candidates must have extensive experience with Netezza, Airflow, Kafka, Spark Streaming, and AWS EMR. Strong expertise in Big Data technologies, cloud migration, and data platform engineering is required for this senior-level position.
Skills
- Netezza
- Airflow
- Kafka
- Spark Streaming
- AWS EMR
- Big Data
- AWS Cloud
- Data Warehousing
- ETL
- SSIS
- Pentaho
- S3
- EC2
- Redshift
- Glue
- SQL
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Engineering
- Software
- Consulting
Keywords
- Netezza
- Airflow
- Kafka
- Spark Streaming
- AWS EMR
- Big Data
- AWS Cloud
- Data Warehousing
- ETL
- SSIS
- Pentaho
- S3
- EC2
- Redshift
- Glue
- SQL
- Data Ingestion
- Data Transformation
- Cloud Migration
- Distributed Systems
- Platform Engineering
- Data Pipelines
- System Reliability
- IT Services
- Banking