Join our team as a Data Engineer and take a pivotal role in designing, developing, and maintaining robust data solutions. You will be instrumental in shaping the generation, collection, and processing of data, creating efficient data pipelines for seamless cross-system migration and deployment.

Your responsibilities will include ensuring high data quality and implementing effective ETL processes. This role offers an opportunity to work on cutting-edge data technologies and contribute to the organization's data infrastructure and analytical capabilities.

As a Data Engineer, you will be expected to operate independently and develop deep expertise in your domain. Active participation in team discussions and collaborative problem-solving are key.

Your contributions will involve delivering scalable solutions by understanding cross-functional data requirements, monitoring and optimizing data workflows for performance, and documenting processes. You will also mentor junior team members, sharing knowledge and providing guidance.

A strong foundation in Microsoft Azure Databricks is essential for this role. We are seeking candidates with proven experience in building and managing scalable data pipelines and workflows.

Candidates should possess a solid understanding of data integration and ETL concepts, alongside familiarity with cloud-based data storage and processing solutions. The ability to efficiently troubleshoot data-related issues and knowledge of data quality assurance techniques are also required. A minimum of 3 years of experience is necessary.