Elevate your career as a Data Engineer, specializing in the design and optimization of data pipelines to support innovative AI-driven applications and data initiatives. In this pivotal role, you will be responsible for developing efficient data infrastructures, collaborating with diverse teams to enhance data-driven decision-making. Your focus will be on successfully integrating multiple data sources while ensuring data quality and security measures are upheld.

Your contributions will have a profound impact on the organization’s pursuit of intelligent solutions. Key Responsibilities:

- Develop and optimize ETL/ELT data workflows
- Enhance data storage solutions and architectures
- Integrate APIs and manage batch/streaming data
- Troubleshoot and improve system performance




- Collaborate in data modeling projects with AI/ML teams

Requirements:

- Expertise in Python, SQL, and Scala for data tasks
- Hands-on experience with ETL frameworks like Apache Airflow
- Proficient in Big Data technologies, cloud platforms
- Familiarity with both relational and NoSQL databases
- Strong problem-solving skills and effective communication

Utilize your data engineering skills to forge creative solutions and contribute to AI applications that reshape the landscape of data utilization across industries.

📌 Dynamic Data Engineer Creating Scalable Solutions for AI Applications (Toronto)
🏢 TheAppLabb
📍 Toronto