As a Data Engineer, you will design, develop, and maintain robust data solutions for data generation, collection, and processing. This role involves creating efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration across systems. Your contributions will be vital in supporting the organization's data infrastructure and analytical capabilities.

Key responsibilities include independently performing tasks and becoming a subject matter expert. Active participation in team discussions and contributing solutions to work-related challenges are expected. You will collaborate with cross-functional teams to define data requirements and deliver scalable solutions. Monitoring and optimizing data workflows for performance and reliability is also crucial, alongside documenting data processes and maintaining clear stakeholder communication. Mentoring junior team members through knowledge sharing and guidance is an integral part of this role.

A minimum of 3 years of experience with Apache Hadoop is essential. Proficiency in distributed computing frameworks and big data processing is required. A strong understanding of data storage architectures and data modeling is necessary. Familiarity with data pipeline orchestration and workflow management tools is beneficial. Candidates should possess knowledge of data quality assurance and validation techniques, along with the ability to efficiently troubleshoot and resolve data processing issues. A 15-year full-time education is mandatory for this position.