Data Engineer

Overview

Python Data Engineer role focused on building scalable data solutions and high-performance Python applications, including ETL pipelines and API/database integrations.

What you'll do

• Develop, test, and maintain efficient Python applications.
• Write optimized SQL queries and work with relational databases to analyze large datasets.
• Implement and integrate APIs along with web scraping to extract data from various sources.
• Design, develop, and maintain ETL pipelines for data extraction, transformation, and loading.
• Collaborate with cross-functional teams to deliver high-quality technical solutions.
• Ensure code quality, performance, and scalability through best practices and code reviews.

What you'll need

• Have 3–5+ years of Python expertise.
• Be proficient with Python frameworks/libraries including Pandas, NumPy, and Scrapy.
• Have experience with data visualization tools such as Power BI and Tableau.
• Demonstrate strong understanding of relational databases and SQL.
• Have experience working with cloud platforms such as AWS.
• Hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Details

• Flexible to work remotely and/or hybrid indefinitely.