We are seeking a skilled Data Engineer to design, develop, and maintain robust data solutions. Your role will be instrumental in managing data generation, collection, and processing. You will be responsible for creating efficient data pipelines and ensuring high data quality through the implementation of ETL processes for seamless data migration and deployment.

This position supports broader organizational goals and data-driven decision-making by enabling smooth data operations. You'll contribute to a team environment focused on innovation and problem-solving within the data domain.

Key responsibilities include becoming a subject matter expert and performing independently. Active participation in team discussions and contributing innovative solutions to work-related challenges is expected.

Collaborate with cross-functional teams to gather data requirements and deliver scalable solutions. Monitor and optimize data workflows for enhanced performance and reliability. Maintain clear documentation of data processes and communicate effectively with stakeholders. Provide guidance and support to junior team members on data engineering concepts and best practices.

Essential skills include proficiency in Amazon Web Services (AWS) and AWS Neptune. Experience with designing and implementing data pipelines and ETL processes is crucial.

A strong understanding of cloud-based data storage and processing solutions is required. The ability to ensure data quality through validation and cleansing techniques is paramount. Familiarity with data migration strategies and deployment across distributed systems is also necessary. A minimum of 3 years of experience in AWS is mandatory.