Elevate your career with Adastra as a Senior AWS Data Engineer, focusing on innovative data solutions in a hybrid work setting. This role supports a prominent global investment firm.

As a Lead AWS Data Engineer located in New York City or Toronto, you will design and implement robust data engineering architectures using up-to-date tools such as AWS Lake Formation and Apache Iceberg. A successful candidate must be adept in Python, PySpark, and possess advanced SQL skills. Collaborate with multifaceted teams to ensure seamless data governance and operational excellence.

Key Responsibilities:
• Develop and maintain scalable data solutions on AWS
• Construct data lakes using AWS and associated tools
• Implement stringent access controls for data management




• Build data pipelines with Python and PySpark technologies
• Craft sophisticated SQL queries for data transformation

Requirements:
• Proven track record in AWS data engineering
• Expert knowledge of AWS services and data lake architectures
• Strong programming skills in Python and PySpark
• Experience in using Terraform for Infrastructure management
• Knowledge of best practices for data governance

Leverage your skills in data engineering with Adastra to drive impactful solutions in a collaborative environment.
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📌 Senior Data Engineer Expertise at Adastra (Ontario)
🏢 Adastra Group
📍 Ontario