As a Data Engineer, you will be instrumental in crafting robust data solutions. This role involves designing, developing, and maintaining systems for data generation, collection, and processing.

You will be responsible for building efficient data pipelines and ensuring the integrity of our data assets. The implementation of ETL processes will be key to migrating and deploying data effectively across various platforms.

Key responsibilities include architecting and implementing data pipelines and ETL processes, ensuring data quality through rigorous validation techniques, and optimizing data workflows for performance and reliability.

You will collaborate with cross-functional teams to translate data requirements into scalable solutions. Additionally, you'll contribute to problem-solving, mentor junior team members, and maintain clear documentation and stakeholder communication.

A strong foundation in Data Engineering is essential, with proven experience in designing and implementing data pipelines and ETL processes. Familiarity with data storage solutions, database management, and data quality assurance is also required.

Candidates should possess the ability to manage large datasets and optimize processing workflows, along with an understanding of cloud-based data platforms and distributed computing. A minimum of 2 years of relevant experience is mandatory.