AWS Lakehouse Data Engineer

J ob Title: AWS Lakehouse Data Engineer Work Model: Remote - offsite Responsibilities Build and operate data pipelines (batch and streaming) from APIs, relational databases, file drops, event streams, and external partners. Design, implement, test, and optimize ETL/ELT pipelines using Python and PySpark to produce analytics-ready datasets for reporting, visualization, and machine learning. Implement incremental processing, change data capture (CDC), data contracts, schema validation, and reu…

Our engineering team is dedicated to building robust, scalable solutions that solve real-world problems. You will work alongside senior developers to architect and deploy high-quality code. We emphasize continuous learning, peer code reviews, and staying ahead of the curve with emerging technologies.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.