Data entry • berkeley ca
Design and implement Salesforce Data Cloud solutions and data models.Configure Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Identity Resolution.Integration & Ingestion... Show more
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Currently seeking a detail-oriented and efficient Data Entry Operator to join our team.As a Data Entry Operator, you will be responsible for accurately inputting and managing data into our computer... Show more
Data Entry Clerk Job Duties: Maintains database by entering new and updated customer and accou... Show more
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Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more
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When you begin your job with us working on the front-end as a courtesy clerk, customer service associate, or cashier, you are taking a step towards an opportunity that can help you learn, grow, and... Show more
The average salary range is between $ 31,200 and $ 52,000 year , with the average salary hovering around $ 39,000 year .
The average salary range is between $ 27,300 and $ 42,497 year , with the average salary hovering around $ 31,200 year .
Key Responsibilities:
· Design and implement Salesforce Data Cloud solutions and data models.
· Configure Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Identity Resolution.
· Integration & Ingestion: Manage data pipelines using APIs, ETL tools, orMuleSoft to connect external data sources
· Develop and manage data ingestion and integration using APIs, MuleSoft, and other ETL tools.
· Configure Calculated Insights, Segmentation, and Data Actions.
· Work with stakeholders to understand business requirements and translate them into scalable Data Cloud solutions.
· Troubleshoot data quality, integration, and performance issues.
· Collaborate with Salesforce developers, architects, and business teams.
Key Skills:
· 4-6 years of Salesforce experience with strong hands-on Salesforce Data Cloud expertise.
· Strong knowledge of Data Cloud architecture, data modeling, identity resolution, and segmentation.
· Experience with Salesforce APIs, MuleSoft/integration tools, SQL, and data transformation.
· Strong proficiency in SQL, data transformation concepts, and REST/SOAP APIs
· Deep familiarity with Sales Cloud, Marketing Cloud, Service Cloud, and data privacy/compliance standards
· Salesforce Data Cloud certified
This is a remote position.
