Fabric Data Engineer - Azure

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Posted:5 days ago| Platform: Linkedin logo

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Job Type

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Job Description

Job Title:

Fabric Data Engineer – Azure

Employment Type:

Full-time

About The Role

We are seeking a highly skilled

Fabric Data Engineer

with strong expertise in

Azure ecosystem

to design, build, and maintain scalable data solutions. The ideal candidate will have hands-on experience with

Microsoft Fabric, Databricks, Azure Data Factory, PySpark, SQL, and other Azure services

to support advanced analytics and data-driven decision-making.

Key Responsibilities

Design, develop, and maintain scalable

data pipelines

using Microsoft Fabric and Azure data services.Implement

data integration, transformation, and orchestration

workflows with Azure Data Factory, Databricks, and PySpark.Work with stakeholders to understand business requirements and translate them into

robust data solutions

.Optimize performance and ensure

data quality, reliability, and security

across all layers.Develop and maintain

data models, metadata, and documentation

to support analytics and reporting.Collaborate with data scientists, analysts, and business teams to deliver

insights-driven solutions

.Stay updated with emerging

Azure and Fabric technologies

to recommend best practices and innovations.

Required Skills & Experience

Proven experience as a

Data Engineer

with strong expertise in the

Azure cloud ecosystem

.

Hands-on Experience With

Microsoft Fabric

Azure Databricks

Azure Data Factory (ADF)

PySpark & Python

SQL (T-SQL/PL-SQL)

Solid understanding of

data warehousing, ETL/ELT processes, and big data architectures

.Knowledge of

data governance, security, and compliance

within Azure.Strong problem-solving, debugging, and performance tuning skills.Excellent communication and collaboration abilities.

Preferred Qualifications

Microsoft Certified: Fabric Analytics Engineer Associate / Azure Data Engineer Associate

.Experience with

Power BI, Delta Lake, and Lakehouse architecture

.Exposure to

DevOps, CI/CD pipelines, and Git-based version control

.

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