Join our team as a Data Engineer and play a crucial role in shaping our data landscape. You will be responsible for designing, developing, and maintaining robust data solutions essential for data generation, collection, and processing. This involves building sophisticated data pipelines, ensuring the highest standards of data quality, and implementing efficient ETL processes for seamless data migration and deployment across systems. Your expertise will be vital in driving data-driven initiatives and supporting the organization's growth.

As a Data Engineer, you will independently manage your tasks, becoming a subject matter expert in your domain. Active participation in team discussions and contributing to problem-solving are expected. You will collaborate with various departments to gather data requirements and deliver scalable, high-performance solutions. Monitoring and optimizing data pipelines for reliability, documenting data processes for knowledge sharing, and mentoring junior team members are also key aspects of this role.

We are seeking a Data Engineer with a strong command of Microsoft Azure Databricks. Essential qualifications include experience with cloud-based data storage and processing platforms, a solid understanding of data pipeline architecture and ETL frameworks, and proficiency in scripting languages for data manipulation and automation. Familiarity with data quality assurance techniques and the ability to effectively troubleshoot data integration issues are also required. A minimum of 3 years of experience in Microsoft Azure Databricks and 15 years of full-time education are mandatory for this position.