Data Engineer

Build data integrations, data models to support analytical needs for this project. below. Translate business requirements into technical requirements as needed Design and develop automated scripts for data pipelines to process and transform as per the requirements and monitor those Produce artifacts such as data flow diagrams, designs, data model along with git code as deliverable Use tools or programming languages such as SQL, Python, Snowflake, Airflow, dbt, Salesforce Data cloud Ensure data accuracy, timeliness, and reliability throughout the pipeline. Complete QA, data profiling to ensure data is ready as per the requirements for UAT Collaborate with stakeholders on business, Visualization team and support enhancements Timely updates on the sprint boards, task updates Team lead to provide timely project updates on all the projects Project experience with version control systems and CICD such as GIT, GitFlow, Bitbucket, Jenkins etc. Participate in UAT to resolve findings and plan Go Live/Production deployment Milestones: Data Integration Plan into Data Cloud for structured and unstructured data/RAG needs for the Sales AI use cases Design Data Models and semantic layer on Salesforce AI Agentforce Prompt Integration Data Quality and sourcing enhancements Write Agentforce Prompts and refine as needed Assist decision scientist on the data needs Collaborate with EA team and participate in design review Performance Tuning and Optimization of Data Pipelines Hypercare after the deployment Project Review and Knowledge Transfer