About the role
Position: Platform Engineer(Netezza) Location: Toronto, ON (Hybrid/Onsite) Contract Implementation partner:
Job description:
Experience Required 10+ years
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
Required Technical Skills Cloud Technologies Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift AWS Glue, IAM, CloudWatch, CloudFormation Airflow (or AWS Managed Workflows) Databases Experience working with: SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools Hands-on experience with: SSIS 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 Hands-on experience in AWS and Hadoop ecosystems Experience in data migration projects (e.g., Hadoop to AWS, DB migrations) Strong understanding of data warehousing concepts and ETL design patterns Expertise in query optimization and performance tuning Experience supporting production data platforms Bachelor’s degree in Computer Science, Engineering, or related field
Preferred Qualifications Experience in Banking / Financial Services domain Experience with data lake architecture and governance Knowledge of DevOps tools and CI/CD pipelines Experience in platform engineering and framework development
Soft Skills Excellent problem-solving and analytical skills Strong communication and collaboration abilities Ability to work independently and lead initiatives Experience mentoring team members
Nice to Have Experience with tools like Ansible, Git, JIRA Exposure to NoSQL databases (HBase, MongoDB) Experience in data masking and security frameworks
Not the right fit? Search for Platform Engineer jobs in Toronto, Ontario, Canada
About Raas Infotek
Raas Infotek is a full spectrum global Information Technology services company, providing end-to-end business solutions to our global clientele - collaborating with them to design, develop and implement solutions to add value to their business. For close to Five years now, we have consistently contributed to the business growth of our customers which is why, we consider engagements with our customers as an enduring relationship and work towards adding value to our customer’s business growth. Some of our customers have been associated with us for close to 2 years, which is a testament to our commitment, value and customer focus - and their trust in us. Growing demand by our clients to position ourselves as an extension of their IT organization and a one stop shop for their diverse range of product and solution requirements, led Raas to establish Partnerships and Alliances with niche product and solution providers. Our Technology and Delivery Innovation initiatives ensure that our clients are constantly equipped with solutions, frameworks and skills to exploit emerging opportunities. Our diverse skills, methodologies and competencies provide the technological support to achieve the business goals of our clients. In order to meet the expectations of our clients and our business goals, Raas’s Advisors and Leadership Team is made up of highly skilled, experienced individuals. Each brings to the organization a wealth of knowledge and expertise in chosen areas, a proven understanding of the industry and are visionaries in anticipating new and future trends and direction of the market place. In addition, through Raas, we extend access to a team of Advisors and Domain Experts that provide high impact consultancy services and Business Intelligence to all our clients. We have a global footprint with offices in US,India and Canada and our customer profile is spread across multiple domains and verticals. Our greatest strength lies in our highly motivated talent pool.
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About the role
Position: Platform Engineer(Netezza) Location: Toronto, ON (Hybrid/Onsite) Contract Implementation partner:
Job description:
Experience Required 10+ years
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
Required Technical Skills Cloud Technologies Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift AWS Glue, IAM, CloudWatch, CloudFormation Airflow (or AWS Managed Workflows) Databases Experience working with: SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools Hands-on experience with: SSIS 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 Hands-on experience in AWS and Hadoop ecosystems Experience in data migration projects (e.g., Hadoop to AWS, DB migrations) Strong understanding of data warehousing concepts and ETL design patterns Expertise in query optimization and performance tuning Experience supporting production data platforms Bachelor’s degree in Computer Science, Engineering, or related field
Preferred Qualifications Experience in Banking / Financial Services domain Experience with data lake architecture and governance Knowledge of DevOps tools and CI/CD pipelines Experience in platform engineering and framework development
Soft Skills Excellent problem-solving and analytical skills Strong communication and collaboration abilities Ability to work independently and lead initiatives Experience mentoring team members
Nice to Have Experience with tools like Ansible, Git, JIRA Exposure to NoSQL databases (HBase, MongoDB) Experience in data masking and security frameworks
Not the right fit? Search for Platform Engineer jobs in Toronto, Ontario, Canada
About Raas Infotek
Raas Infotek is a full spectrum global Information Technology services company, providing end-to-end business solutions to our global clientele - collaborating with them to design, develop and implement solutions to add value to their business. For close to Five years now, we have consistently contributed to the business growth of our customers which is why, we consider engagements with our customers as an enduring relationship and work towards adding value to our customer’s business growth. Some of our customers have been associated with us for close to 2 years, which is a testament to our commitment, value and customer focus - and their trust in us. Growing demand by our clients to position ourselves as an extension of their IT organization and a one stop shop for their diverse range of product and solution requirements, led Raas to establish Partnerships and Alliances with niche product and solution providers. Our Technology and Delivery Innovation initiatives ensure that our clients are constantly equipped with solutions, frameworks and skills to exploit emerging opportunities. Our diverse skills, methodologies and competencies provide the technological support to achieve the business goals of our clients. In order to meet the expectations of our clients and our business goals, Raas’s Advisors and Leadership Team is made up of highly skilled, experienced individuals. Each brings to the organization a wealth of knowledge and expertise in chosen areas, a proven understanding of the industry and are visionaries in anticipating new and future trends and direction of the market place. In addition, through Raas, we extend access to a team of Advisors and Domain Experts that provide high impact consultancy services and Business Intelligence to all our clients. We have a global footprint with offices in US,India and Canada and our customer profile is spread across multiple domains and verticals. Our greatest strength lies in our highly motivated talent pool.