Data Engineer

Responsibilities: Design, develop, and maintain ETL processes to efficiently extract, transform, and load data into cloud data warehouses (GCP, Redshift, Snowflake, or Synapse). Collaborate with stakeholders to understand data requirements and translate them into scalable and efficient data pipelines. Implement and maintain dimensional modeling techniques to ensure data accuracy and consistency. Develop and maintain Power BI (or similar technology) dashboards and reports to provide insights and facilitate data-driven decision-making. Stay updated with the latest trends and technologies in data engineering and contribute to the continuous improvement of data processes and systems. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience 3 years working as a data engineer or similar role. Strong proficiency in ETL development, including data extraction, transformation, and loading. Experience working with cloud data warehouses suc...