VAYUZ Technologies

Salesforce Data Cloud Engineer

Chennai, TN, IN

11 days ago
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Summary

Job Description

Role Expectations :

  • Salesforce Data Cloud Expertise :
  • Leverage in-depth knowledge of Salesforce Data Cloud to implement and manage scalable solutions.
  • Stay current with platform updates and recommend best practices for optimization and Data Modeling :
  • Design and develop efficient and scalable data models that align with business requirements.
  • Collaborate with stakeholders to translate data needs into logical and physical data models.
  • Data Integration :
  • Lead the integration of external and internal data sources using tools like MuleSoft, Informatica, or native Salesforce connectors.
  • Ensure seamless data flow across systems, maintaining integrity and performance.
  • Data Quality :
  • Establish and enforce data quality standards, including validation, cleansing, and enrichment processes.
  • Monitor and improve data accuracy, consistency, and reliability within the Salesforce Data Cloud.
  • Data Governance :
  • Implement data governance frameworks, ensuring compliance with organizational policies and industry regulations.
  • Define data ownership, access controls, and stewardship roles.
  • SQL Proficiency :
  • Write and optimize SQL queries to extract, manipulate, and analyze data from multiple sources.
  • Support reporting, dashboard development, and data validation tasks using SQL.
  • Problem Solving and Analysis :
  • Analyze complex data challenges, identify root causes, and implement effective solutions.
  • Collaborate across teams to troubleshoot data-related issues and deliver actionable :
  • Salesforce Data Cloud Expertise : Extensive knowledge of Salesforce Data Cloud features, capabilities, and best practices.
  • Data Modeling : Strong experience in designing and implementing data models.
  • Data Integration : Experience with data integration tools and techniques.
  • Data Quality : Understanding of data quality concepts and practices.
  • Data Governance : Knowledge of data governance principles and practices.
  • SQL : Proficiency in SQL for data querying and manipulation.
  • Problem-Solving : Strong analytical and problem-solving skills.
  • Communication : Excellent communication and collaboration skills.

(ref:hirist.tech)

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