The role involves architecting and maintaining automated data pipelines for ingesting, transforming, and integrating complex datasets using GCP tools like DataStream and Dataflow, while leveraging Composer/Airflow for scheduling and Terraform/Dataform for infrastructure management. Duties also include translating business needs into pipeline specifications, optimizing data models, and ensuring data quality and security across all processes.

The role involves architecting and maintaining automated data pipelines for ingesting, transforming, and integrating complex datasets using tools like DataStream and Dataflow, while leveraging Composer/Airflow for scheduling and automation. Core duties also include translating business needs into pipeline specifications, building data models, and ensuring data quality and security across all processes.

The role focuses on designing, implementing, and optimizing solutions within Microsoft Fabric for data integration, analytics, and governance across the enterprise. Responsibilities include developing and maintaining lakehouses, dataflows, and pipelines while collaborating with stakeholders to build robust data models.

The Data Engineer will be responsible for building and optimizing data pipelines, managing data storage and processing systems, and ensuring the reliability of the data platform while collaborating with cross-functional teams. This involves designing, developing, and maintaining scalable data pipelines to ingest, process, and transform large volumes of data using AWS services.