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 • Robust problem-solving skills and effective communication

Utilize your data engineering skills to forge innovative solutions and contribute to AI applications that reshape the landscape of data utilization across industries. #J-18808-Ljbffr

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