Data Engineer

Role: SR Data Engineer Experience: - Min 8 Years Location: - Chicago, IL(3 days/Week) OR Remote (F2F Interview Mandatory) Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices. Responsibilities: - Perform Develop and manage ETL processes using Python, PySpark, and SQL. Work with Databricks for data processing. Utilize AWS services like S3, Clo…

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.