Take the helm as a Lead AWS Data Engineer with Adastra, focusing on cutting-edge data solutions in a hybrid work setting. Work collaboratively on scalable and secure AWS platforms for a prestigious global investment organization.

In this contract position based in New York City or Toronto, you'll play a vital role in designing and implementing modern data lakes and enterprise data architectures. The ideal candidate has hands-on experience in AWS solutions, strong programming skills in Python and PySpark, and advanced SQL capabilities. Your work will influence data-driven initiatives while ensuring effective data governance and performance.

Key Responsibilities:



• Design and maintain AWS data engineering solutions • Build data lakes using AWS Lake Formation and Apache Iceberg • Implement fine-grained access controls for data security • Develop data processing pipelines with Python and PySpark • Write efficient SQL queries for data transformation

Requirements: • Proven experience in AWS data solutions design • Strong knowledge of AWS data services and architectures • Expertise in Python, PySpark, and advanced SQL • Hands-on experience with Terraform for Infrastructure-as-Code • Familiarity with data governance best practices

Lead the way in creating secure and scalable data environments with Adastra, leveraging your deep AWS expertise. #J-18808-Ljbffr

📌 Lead AWS Data Engineer at Adastra (Winnipeg)
🏢 Adastra Group
📍 Winnipeg