Intermediate Data Engineer

The Mid-Level Data Engineer is responsible for building, maintaining, and optimizing data pipelines that support data-driven operations and analytics. This role involves developing reliable ETL processes, integrating diverse data sources, and ensuring the availability and quality of data across the organization. The incumbent collaborates closely with senior engineers, analysts, and data scientists to enable seamless data accessibility, while continuously developing technical skills in modern data engineering tools and technologies. The ideal candidate will have experience working with cloud-based data platforms, such as AWS or GCP, and be familiar with data warehousing concepts and ETL processes using tools like Apache Beam, Apache Spark, or AWS Glue. Additionally, the ability to work effectively in a collaborative environment, communicate technical information to non-technical stakeholders, and prioritize tasks to meet project deadlines are essential for this role.