Platform Engineer with Netezza Experience

Join Our Team as a Platform Engineer with Netezza Expertise – Drive Data Innovation in the Cloud! Are you a seasoned Data Platform Engineer passionate about building scalable, cutting-edge data solutions? Do you thrive in fast-paced environments where your expertise in Netezza, AWS, and big data technologies can make a real impact? We’re seeking a talented professional to lead data platform modernization, cloud migrations, and large-scale data pipeline development for a leading enterprise client in Toronto. If you're ready to leverage your technical prowess and creativity to shape the future of data architecture, we want to hear from you! Qualifications Over 10 years of experience in Data Engineering, Big Data, or Platform Engineering Proven expertise in designing, developing, and supporting scalable data pipelines Hands-on experience with Netezza is mandatory, including data warehouse management and migration Strong proficiency in SQL-based systems: SQL Server, Postgres, Teradata, Redshift Extensive experience with AWS cloud services: EMR, EC2, S3, VPC, RDS, Redshift, AWS Glue, CloudWatch, CloudFormation, IAM Familiarity with orchestration tools like Airflow (or AWS Managed Workflows) and real-time data processing technologies such as Kafka and Spark Streaming Skilled in ETL/ELT process implementation using tools like SSIS, Pentaho, and scripting languages such as shell scripting and Python Solid understanding of Unix/Linux operating environments Excellent troubleshooting and performance optimization skills Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field 10+ years of relevant experience in data platform engineering or related disciplines Hands-on experience with cloud migration projects, particularly on-premises to AWS transitions Nice to Have Skills: Experience with Python programming Knowledge of Data Warehouse solutions like Teradata Exposure to operating in enterprise-scale environments with cross-functional teams Key Responsibilities: Design, develop, and maintain scalable data pipelines using Big Data and AWS technologies Lead and support data platform migration initiatives, particularly from on-premises solutions like Netezza to cloud environments Develop and manage ETL/ELT processes utilizing tools such as SSIS, Pentaho, and scripting languages Implement and optimize data workflows and orchestration pipelines with Airflow Build and enhance data ingestion, transformation, and validation processes from diverse data sources Perform performance tuning and optimization of SQL queries for improved scalability Monitor system health, troubleshoot issues, and ensure high system reliability and uptime Collaborate with cross-functional teams, including developers, architects, and infrastructure specialists, to deliver robust data solutions Work on real-time data streaming technologies such as Kafka and Spark Streaming to support live data processing Elevate your career by helping innovative organizations unlock the full potential of their data platforms. If you’re driven to design robust data solutions and thrive on solving complex challenges, apply now and take the next step in your professional journey! Salary: $100 -130 000/ yr

The role involves designing and maintaining scalable data pipelines and leading the migration of data platforms from on-premises Netezza to AWS cloud environments. Additionally, the engineer will optimize SQL queries and manage real-time data streaming using Kafka and Spark Streaming.

Candidates must have over 10 years of experience in data engineering with mandatory expertise in Netezza and AWS cloud services. A degree in Computer Science or a related field and proficiency in SQL-based systems and orchestration tools are required.

• SQLPreferred
• PostgreSQLPreferred
• Amazon Web ServicesPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Netezza
• AWS
• SQL
• Data Pipeline Design
• ETL/ELT
• Python
• Airflow
• Kafka
• Spark Streaming
• Redshift
• Postgres
• Teradata
• SSIS
• Pentaho
• Unix/Linux
• Cloud Migration

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Minimum education

Bachelor’s degree

Minimum experience

10+ years

Apply by

Sep 4, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available