Elevate your career with Adastra as a Senior AWS Data Engineer, focusing on creative 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 workplace.

📌 Senior Data Engineer Expertise At Adastra Markham (Canada)
🏢 Adastra Group
📍 Canada