Data Engineer

Role Overview

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

What You Will Do

Build and manage data warehouse solutions, work with Hadoop/Big Data ecosystems for large-scale data processing, and collaborate with stakeholders to translate business requirements into data solutions.

Why It Might Be a Fit

Strong hands-on experience in PySpark and Python, advanced proficiency in SQL, and solid understanding of Data Engineering concepts are required.

Requirements

• Strong hands-on experience in PySpark and Python
• Advanced proficiency in SQL
• Solid understanding of Data Engineering concepts
• Experience in ETL processes and data warehousing
• Familiarity with Hadoop and Big Data technologies
• Good communication and business understanding