As a Data Engineer, you will be instrumental in crafting and sustaining advanced data solutions essential for data generation, collection, and processing.

Your role involves building robust data pipelines, upholding data integrity, and implementing comprehensive ETL processes for seamless data migration and deployment across diverse systems.

This position offers an opportunity to contribute significantly to data infrastructure and analytics, ensuring efficient data flow and accessibility.

Independently drive projects and establish yourself as a subject matter expert. Actively participate and contribute to team discussions, offering valuable insights. Provide innovative solutions to address and resolve work-related challenges. Collaborate with cross-functional teams to accurately capture data requirements and deliver scalable solutions. Monitor and fine-tune data pipelines for optimal performance and unwavering reliability. Maintain clear documentation of data processes and workflows to facilitate knowledge sharing. Support and mentor junior team members, guiding them through their tasks.

A strong command of Amazon Athena and PySpark is essential for this role. Demonstrate extensive experience in architecting and managing intricate data pipelines and workflows. Possess a solid understanding of data warehousing principles and industry best practices. Exhibit the ability to optimize complex queries and enhance data retrieval speeds. Familiarity with cloud-based platforms for data storage and processing is expected. Proven experience in efficiently troubleshooting and resolving data-related issues is required. A minimum of 3 years of experience with Amazon Athena is necessary. Completion of 15 years of full-time education is a prerequisite.