As a Data Engineer, you will be instrumental in designing, developing, and maintaining robust data solutions. Your focus will be on optimizing data generation, collection, and processing. This role involves creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will also implement ETL processes for seamless data migration and deployment across various systems, collaborating with teams to meet organizational data needs.

Key responsibilities include becoming a subject matter expert and performing independently. Active participation in team discussions and contributing to problem-solving are essential. You will collaborate with cross-functional teams to understand data needs and deliver scalable solutions. Monitoring and troubleshooting data pipelines to ensure uninterrupted data flow, documenting processes, and assisting junior team members are also core functions.

A minimum of 3 years of experience in Data Engineering is required. Proficiency in designing and implementing data pipelines and ETL processes is crucial. Strong knowledge of data storage solutions, database management, and familiarity with cloud-based data platforms and distributed computing frameworks are expected. The ability to optimize data workflows for performance and scalability, along with an understanding of data quality assurance techniques, is vital.