Data Engineer

Build data integrations, data models to support analytical needs for this project. Requirements 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