Role Overview

As a Data Engineer, you will design, develop, and optimize data pipelines to process large datasets efficiently. Collaborate with cross-functional teams to deliver scalable data solutions that drive business insights.

Key Responsibilities

• Data Pipeline Development: Design and implement scalable data pipelines.

• Data Integration: Integrate data from various sources, ensuring quality and consistency.

• Performance Tuning: Optimize data processing workflows for efficiency.

• Collaboration: Work with data scientists and analysts to meet business requirements.

• Documentation: Maintain comprehensive documentation for data processes.

Qualifications

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Technical Skills: Proficiency in Python, SQL, and experience with AWS services like S3, Redshift, and Glue.

• Experience: 2–5 years in data engineering roles.

• Soft Skills: Strong communication and teamwork abilities.