Programming.com | Salesforce Data Cloud--PD | bangalore
1 week ago
Job Description
Job Title: Salesforce Data Cloud Engineer
Experience : 6+ Years
Location : Bangalore
Notice Period : Immediate to 15 Days
Job Description
We are seeking a skilled Salesforce Data Cloud Engineer with a deep understanding of Salesforce and cloud data solutions. This role is ideal for an experienced professional who is proficient in leveraging Salesforce Data Cloud, data integration, and cloud platform technologies to drive data-driven decision-making and innovation.
Key Responsibilities
► Salesforce Data Cloud Management: Lead the implementation and management of Salesforce Data Cloud solutions, ensuring seamless data integration and optimized data processes.
► Data Integration and ETL: Develop and maintain efficient ETL (Extract, Transform, Load) processes to integrate data from multiple sources, ensuring data quality and consistency.
► Data Modeling and Architecture: Design and maintain scalable data models and architectures that align with organizational needs and support advanced analytics and reporting.
► Automation and Workflows: Configure and optimize workflows and automation within Salesforce to enhance productivity and operational efficiency.
► Data Security and Compliance: Ensure that data management processes comply with relevant security standards and best practices, including data privacy and protection measures.
► Collaboration and Support: Work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to translate business requirements into effective data solutions.
Desired Skills and Qualifications
► Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
► Experience: Minimum of 6 years of experience working with Salesforce and cloud data technologies.
Technical Skills: In-depth knowledge of Salesforce Data Cloud, data integration tools (such as MuleSoft), cloud platforms (AWS, Azure, Google Cloud), ETL tools (Informatica, Talend), SQL, data modeling, and experience in automation tools and workflows.
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