| Agentforce Data Engineer - Seattle, WA, San Francisco, CA , Dallas, TX, Indianapolis, IN, New York, NY - Onsite at Dallas, Texas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2260992&uid= From: Sukumar, GAC Solution Inc [email protected] Reply to: [email protected] Greetings, My name is Sukumar, and I represent GAC Solution Inc., a staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have excellent domain expertise in all verticals. Repositioning professionals is what we do, and we do it very well. I am reaching out to you today as your profile matches an immediate job opportunity we have with our premier client. Please take a look at the job description below and let me know your interest. Role: Agentforce Data Engineer Location: Seattle, WA / San Francisco, CA / Dallas, TX / Indianapolis, IN / New York, NY - Onsite Contract Job Description: Key Skills: Must have - Good understanding and Experience with SQL. Must have - Strong back group in Python. Preferred DBT (data build tool) experience and ability to develop DBT ETL pipelines for data ingestion and transformation. Maintaining, deploying and code versioning the ETL process. Using GIT CI/CD for DevOps. Actively develop, enhance and maintain data pipelines and workflows for marketing data and metrics. Design & develop easy, repeatable and reusable automation data frameworks. Work and collaborate with global teams across North America, EMEA and APAC. Help in building POC solutions for new marketing metrics that drive effective decision making. Design & develop easy, repeatable and reusable automation data frameworks. Responsible for end-to-end data management activities, including but not limited to identify fields, data lineage and integration, performing data quality checks, analysis and presenting data. Key Responsibilities & Scope: Build metrics from unstructured data - Chat transcripts, AI Agent product logs, Agent interaction texts - to build conversational analytics. Build metrics from structured data - Salesforce Data Cloud, Snowflake tables, Salesforce Sales Cloud objects. Design, develop, and maintain data transformation pipelines using dbt to transform raw data into structured, usable datasets for analytics and reporting. Collaborate with cross-functional teams including data analysts, software engineers, and product managers to translate business requirements into data-driven solutions that provide actionable insights and enhance customer experiences. Optimize data storage, retrieval, and processing to support high-performance analytics, ensuring the system scales effectively with increasing data volumes. Ensure data quality and consistency by implementing automated monitoring, alerting, and validation processes. Automate and streamline data operations to reduce time-to-insight and enhance data reliability Define and uphold data engineering best practices, including code quality, version control, and testing standards. Support and strengthen data security, privacy, and compliance across all data engineering initiatives to meet industry standards. I would also appreciate it if you could send me an updated resume. Best Regards, Sukumar Sr Technical Recruiter E: [email protected] www.gacsol.com www.muffins.ai Experts in Digitalization and Platform Engineering - Enterprise 4.0 Keywords: continuous integration continuous deployment artificial intelligence access management information technology California New York Texas Washington Agentforce Data Engineer - Seattle, WA, San Francisco, CA , Dallas, TX, Indianapolis, IN, New York, NY - Onsite [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2260992&uid= |
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| 10:33 PM 17-Mar-25 |