Job Summary

Must Have: Fabric Data Engineer - With Salesforce Seeking an experienced Microsoft Fabric Data Engineer with hands-on Fabric implementation experience.

Responsibilities

- Design, develop, and orchestrate end-to-end data pipelines using Microsoft Fabric.
- Build scalable and reusable data frameworks using config-driven architecture.
- Develop and maintain Spark notebooks, Fabric pipelines, and ETL/ELT processes using SQL, Spark, and Python.
- Design and implement data ingestion solutions, including ingesting Salesforce data into Microsoft Fabric.
- Perform data modeling and transformations for analytics and reporting.
- Create Semantic Models and support BI reporting requirements.
- Ensure adherence to CI/CD, documentation, and deployment standards.
- Own deliverables end-to-end with minimal supervision.

Requirements

- 8+ years of experience as a Data Engineer.
- Strong experience with Microsoft Fabric (2+ years preferred).
- Hands-on experience with SQL, Data Modeling,



ETL/ELT pipelines, Spark, and Python.
- Experience creating Semantic Models and BI reports.
- Proven ability to design scalable data solutions.
- Experience working with CI/CD deployment processes.

Qualifications

- Preferred experience ingesting and integrating Salesforce data into Microsoft Fabric.
- Microsoft Fabric Certification.
- Robust background in Azure Synapse Analytics, ADF, Databricks, and Delta Lake.

Key Skills

- Microsoft Fabric
- SQL
- Spark
- Python
- ETL/ELT
- Data Modeling
- Salesforce data integration
- CI/CD
- Databricks

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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