Microsoft Fabric Data Engineer

ActiveSoft, Inc
yesterday

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Azure
Information Systems
Information Engineering
Data Governance
ETL
Data Warehousing
Database Queries
Dimensional Modeling
Hive
Python
SQL Azure
Power BI
Azure
Salesforce
SAP Applications
Enterprise Software Applications
Azure
SAP Integration Solutions
Data Layers
Microsoft Fabric
Data Lake
PySpark
Information Technology
Epicor ERP
Data Management
Data Pipelines

Job description

We are seeking a hands-on Data Engineer to build and scale an enterprise Azure & Microsoft Fabric analytics platform supporting ERP integration and enterprise reporting initiatives., Build and maintain scalable ETL/ELT pipelines using Azure and Microsoft Fabric Integrate data from systems including SAP, Epicor, Salesforce, Azure SQL, and other enterprise applications Develop and optimize data lake/lakehouse/data warehouse solutions Create reusable data models, semantic layers, and KPI reporting structures Support governed Power BI reporting environments Implement data quality, security, lineage, and monitoring processes

Requirements

2+ years of experience in Data Engineering Strong experience with: Microsoft Fabric Azure Data Factory (ADF) Azure SQL Azure Data Lake / ADLS Synapse Analytics

Strong SQL skills Experience with Python, PySpark, Spark SQL Hands-on experience building ETL/ELT pipelines Experience with Power BI semantic models Knowledge of dimensional modeling, lakehouse, and data warehouse concepts

Preferred Experience integrating ERP/enterprise systems such as SAP, Epicor, JobBOSS, or Salesforce Experience with data governance, RLS/security, and enterprise analytics environments

Education Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field preferred.

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