Elevate your career as a Data Engineer specializing in ETL/ELT processes. With 5–7 years of experience required, this role focuses on building and maintaining data pipelines and real-time processing solutions.

As a Data Engineer, you will develop scalable ETL/ELT data pipelines and create real-time data solutions for various data types. You should possess strong skills in key technologies such as pgVector, Redis, and Azure AI Search, as well as a solid understanding of data governance and compliance processes involved.

Key Responsibilities:
• Design and maintain scalable ETL/ELT data pipelines
• Build batch and real-time processing solutions
• Develop ingestion, transformation, and integration workflows




• Optimize pipelines for performance and reliability
• Collaborate with Data Scientists and Software Engineers

Requirements:
• 5–7 years of Data Engineering experience
• Proficient in Python and SQL
• Strong skills in ETL/ELT and data pipeline development
• Experience with real-time data processing
• Familiarity with cloud platforms like Microsoft Azure

Bring your data processing skills and governance knowledge to create impactful solutions in a quick-evolving environment.
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📌 Data Engineer with ETL/ELT Expertise (Ontario)
🏢 Ampstek
📍 Ontario