Salesforce Data Cloud Developer

ClinDCast LLC

Wesley Chapel, FL, United States

5 days ago

Apply on www.dice.com

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Cloud Engineering Extract Transform Load (ETL) Data Transformation Cloud Services Salesforce.Com SQL Databases Data Streaming Data Ingestion SOAPAPI Salesforce Sales Cloud Data Lakes

+6 more

Integration Frameworks Restful APIs Data Pipelines Marketing Cloud User Identification Mulesoft

Job description

· 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.

Requirements

· 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

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Apply on www.dice.com

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:08 min

Structuring a three-tier API architecture in MuleSoft

Nils Hünerberg · World Congress 2023

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

1:20 min

Introduction to multi-cloud development infrastructure

Sandeep Pal · Coffee With Developers

2:19 min

Selecting and evaluating enterprise integration platforms

Nils Hünerberg · World Congress 2023

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

Videos

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Why make use of an integration platform in today's software developments and infrastructure? thumbnail