Data Engineer – Snowflake / DBT
On-site · Toronto
Design, develop, and maintain scalable data solutions using Snowflake and dbt. Build and support data pipelines and transformations, ensuring data quality, validation, and performance.
Opportunities Exclusively for Everyone With Focus on Top Talent
Irving, Texas
Welcome to Aptino where we combine APTITUDE of talent, skills, and expertise with INNOVATION of continuous change and transformation to deliver the highest quality of total talent strategies and results. Aptino is a specialized IT consulting firm that leverages cutting-edge AI technology and innovative methodologies to create a comprehensive strategy tailored to the unique needs of each client. Our efficient, focused determination leads us to the highest quality results focusing on a true partnership with our clients and workforce. Our Vision To innovate your approach to sourcing superior talent. Our Mission We leverage cutting-edge AI technology and innovative methodologies to create a comprehensive strategy tailored to the unique needs of each client. Our efficient, focused determination leads us to the highest quality results focusing on a true partnership with our clients and workforce.
On-site · Toronto
Design, develop, and maintain scalable data solutions using Snowflake and dbt. Build and support data pipelines and transformations, ensuring data quality, validation, and performance.
On-site
Lead and mentor a team of onshore and offshore data engineers while designing, developing, and optimizing scalable GCP data solutions and ETL/ELT pipelines. Establish engineering standards and practices, improve pipeline performance and cloud costs, implement data quality and governance capabilities, and support analytics and AI initiatives.
On-site · Toronto
Design and maintain CI/CD pipelines, reusable automation workflows, and GitOps-based deployments for containerized applications on OpenShift and Kubernetes. Develop automation scripts, implement monitoring and security checks, troubleshoot production issues, support platform migrations, and contribute to incident management and technical documentation.
Hybrid
Design and develop scalable Java and Spring Boot microservices, responsive web applications, secure REST APIs, and Kafka-based event-driven systems. Manage data and deployments, implement CI/CD and security controls, develop automated tests, troubleshoot performance, and collaborate with architecture, QA, DevOps, product, and support teams.
Remote · Toronto, Ontario, Canada
Design, build, and maintain scalable data pipelines and high-performance data warehousing solutions on GCP, primarily using BigQuery, SQL, and dbt. Collaborate with analysts, data scientists, and stakeholders while monitoring pipeline performance and quality, automating workflows with Python, and ensuring data governance and security.
On-site
Lead migrations from CA Endevor to Git, IBM DBB, and IDD, including assessing legacy workflows, designing migration strategies, and converting and validating applications. Configure and troubleshoot mainframe DevOps environments and pipelines, collaborate with clients and IBM teams, and deliver training, knowledge transfer, and technical documentation.
On-site
Design, build, and maintain scalable data pipelines on Google Cloud Platform and BigQuery, and develop optimized SQL queries and dbt models for data transformation, testing, and documentation. Automate data processing with Python, monitor data quality, troubleshoot and optimize pipelines, and ensure data security, governance, and compliance.
On-site
Design, build, and maintain scalable data pipelines on Google Cloud Platform and BigQuery, and develop optimized SQL queries and dbt models for data transformation, testing, and documentation. Automate data processing with Python, monitor data quality, troubleshoot and optimize pipelines, and ensure data security, governance, and compliance.