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. #J-18808-Ljbffr

📌 Senior Data Engineer Expertise at Adastra (Winnipeg)
🏢 Adastra Group
📍 Winnipeg