The role involves designing, building, and maintaining scalable data pipelines and platforms to support analytics and operational decision-making. The engineer focuses on end-to-end data ingestion, specifically extracting data from Salesforce, landing it in Amazon S3, and loading it into Amazon Redshift. Responsibilities include SQL modernization, data quality management, governance, and performance tuning. The position requires monitoring infrastructure and troubleshooting reliability issues to ensure data integrity. Additionally, the engineer collaborates with business stakeholders to gather requirements and deliver reliable datasets.

The role requires strong hands-on experience building ETL/ELT pipelines within cloud environments. Candidates must possess proven experience integrating Salesforce data into a data platform, including extraction and landing processes. Proficiency in SQL, Python, and AWS services is necessary for the position. No specific degree or professional qualification requirements are mentioned in the text.