- Builds and maintains data pipelines to move, transform, and load data from various sources to a centralized repository.
- Optimizes data infrastructure and pipelines for speed, scalability, and cost-effectiveness.
- Designs, publishes, documents, monitors, secures, and analyzes Application Programming Interfaces (APIs).
- Creates ETL (Extract, Transform, Load) processes and data ingestion pipelines to clean, transform, and prepare data for analysis.
- Designs, optimizes, and maintains databases for efficient data storage and retrieval.
- Manages data warehouses or data lakes to ensure accessibility and reliability of data.
- Develops and maintains data models and schemas that support analytics and reporting.
- Ensures data completeness, integrity, and security through validation, monitoring, and governance practices.
- Normalization of data to eliminate duplications and ensure single source of truth.
- Works closely with stakeholders to understand data needs and provide access to relevant data.
- Creates documentation and provides support to help others understand and use the data infrastructure effectively.
- Appropriately protects the confidentiality, security, and integrity of the Association, employees, borrowers, and other stakeholders.
- Design, implement, and support business intelligence and problem-solving pipelines and applications using Google Cloud Platform (GCP), internal, and third-party tools.
- Direct development of complex, big data pipelines and reporting solutions with extremely low tolerances for data error.
- Lead design, data modeling, architecture, coding, performance tuning, testing, and support of problem-solving systems. Demonstrate ownership of the end-to-end Software Development Life Cycle (SDLC).
- Maintain the highest levels of development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular, and self-sustaining code.
- Lead projects in a multi-stakeholder and dynamic environment to achieve team and project Objectives and Key Results.
- Ensures compliance with licensing laws, health and safety and other statutory regulations.
- Manages other initiatives as required
- Post-Secondary education in information Technology or suitable combination of education and experience.
- Ability to exceed internal and external customer expectations through timely, effective, and service oriented communication.
- Minimum 5 Experience with GCP and data transformation.
- Minimum 3 Rebuild, re-programming, and re-code applications.
- Minimum 5 years of experience in GCP, Big Query, and databases.
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Data Application Engineer - Toronto, Canada - Great Canadian Entertainment
Description
Position Summary:
Under the direction of the Director Gaming and Application, this position is responsible for direct development of complex, big data pipelines and reporting solutions with extremely low tolerances for data error, also maintaining and ensuring data and application systems operate in accordance with functional design specifications through systematic and defined activities and processes while contributing to a safe and welcoming work environment for all employees. Ensures adherence to all policies and procedures.
Key Accountabilities:
Education and Qualification Requirements: