We are seeking a skilled Data Engineer to design, develop, and maintain robust data solutions.

Your role will involve creating efficient data pipelines for data generation, collection, and processing. You'll ensure data quality and implement ETL processes for seamless data migration and deployment across systems.

This position offers an opportunity to work on critical data infrastructure, supporting analytics and business intelligence initiatives.

As a Data Engineer, you are expected to become a subject matter expert and work independently. You will actively contribute to team discussions and collaborate with cross-functional teams to deliver scalable data solutions.

Key responsibilities include monitoring and optimizing data workflows, ensuring performance and reliability. You will also document data processes, maintain clear stakeholder communication, and mentor junior team members by sharing knowledge and providing guidance.

A strong proficiency in PySpark is a mandatory requirement for this role. You should have proven experience in building and managing data pipelines and ETL workflows.

Essential skills include a solid understanding of distributed computing and big data frameworks. The ability to troubleshoot and optimize data processing jobs for efficiency is crucial. Familiarity with data storage solutions, data modeling concepts, and data quality assurance techniques is also expected.