Data Engineer

📋 Description

• Design, build, and maintain scalable ETL pipelines.
• Develop data storage like data lakes and warehouses.
• Integrate structured and unstructured data for analytics.
• Ensure data accuracy through validation and cleansing.
• Document data processes and promote best practices.

🎯 Requirements

• Bachelor's degree in CS, Engineering, or related field.
• 3+ years of Data Engineer experience.
• Proficiency in Python.
• SQL (MySQL/PostgreSQL) and MongoDB.
• Flask, API frameworks, data warehousing/lakehouse.
• Cloud data stacks: AWS, Azure, or GCP.
• Git, Linux, and shell scripting.
• Strong problem solving and communication.

🎁 Benefits

• Equal opportunity employer.
• Inclusive, collaborative team.
• Supportive, growth-minded culture.