This role focuses on designing, developing, and maintaining robust data solutions for data generation, collection, and processing. Key responsibilities include creating efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment across systems. Continuous monitoring and optimization of data workflows are essential to meet organizational needs and enable effective data management.

Independently take ownership of data engineering tasks and become a subject matter expert. Actively participate in team discussions and contribute to problem-solving with innovative solutions. Collaborate with cross-functional teams to gather data requirements and deliver scalable, high-performance data solutions. Monitor and troubleshoot data pipelines to ensure optimal reliability and performance.

Document data processes and workflows thoroughly to support knowledge sharing and maintain clarity. Provide guidance and support to junior team members, fostering a collaborative environment.

A minimum of 3 years of experience in AWS BigData is required. Proficiency in designing and implementing scalable data pipelines and ETL processes is crucial. Strong knowledge of cloud-based data storage and processing services is essential. The ability to optimize data workflows for performance and cost efficiency is highly valued. Familiarity with data quality assurance and validation techniques, along with experience in troubleshooting complex data-related issues, is expected.