Data Engineer

Role Overview

Design, build, and maintain scalable data pipelines using PySpark and Python. Develop and optimize complex SQL queries for large datasets. Implement and manage ETL/ELT processes ensuring data quality and reliability.

What You Will Do

Collaborate with business and product teams to translate data requirements into solutions. Build and maintain data warehouse solutions. Handle large-scale data processing using Hadoop/Big Data technologies.

Why It Might Be a Fit

Strong hands-on experience with PySpark and Python. Advanced proficiency in SQL. Solid experience in ETL processes and data warehousing.

Requirements

• Strong hands-on experience with PySpark and Python
• Advanced proficiency in SQL
• Solid experience in ETL processes and data warehousing
• Familiarity with Hadoop ecosystem and Big Data technologies
• Experience working with large datasets in distributed environments
• Good communication and business understanding