Data Engineer

📋 Description

• Design, develop, and maintain scalable ETL pipelines.
• Build and optimize data lakes and data warehouses.
• Integrate structured and unstructured data for analytics.
• Ensure data quality through validation and cleansing.
• Document data processes and promote best practices.
• Collaborate with cross-functional teams on end-to-end solutions.

🎯 Requirements

• Bachelor's degree in CS, Engineering, or related field.
• 3+ years of Data Engineer experience.
• Proficiency in Python.
• SQL (MySQL, PostgreSQL) and NoSQL (MongoDB).
• Spark, PySpark, data warehousing/lakehouse, ORM, pandas.
• Cloud stacks (Azure/AWS/GCP) and ETL/ELT tools.

🎁 Benefits

• Collaborative and inclusive culture.
• Growth and continuous learning opportunities.
• Work on impactful, end-to-end data projects.
• Equal opportunity employer with merit-based decisions.