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Srijan
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Senior Data Engineer (Azure+MS Fabric)

Senior Data Engineer (Azure+MS Fabric)

Srijan

5 - 10 years

7 - 12 Lacs

Gurugram

Posted:3 months ago| Platform:

Apply

Skills Required

metadata GIT orchestration Architecture Analytical power bi Data processing microsoft SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Responsibilities:

Design and Develop Data Pipelines:

Develop and optimise scalable data pipelines using

Microsoft Fabric

, including

Fabric Notebooks

Dataflows Gen2

Data Pipelines

, and

Lakehouse architecture

. Work on both batch and real-time ingestion and transformation. Integrate with

Azure Data Factory

or Fabric-native orchestration for smooth data flow.

Fabric Data Platform Implementation:

Collaborate with data architects and engineers to implement

governed Lakehouse models

Microsoft Fabric (OneLake)

. Ensure data solutions are performant, reusable, and aligned with business needs and compliance standards.

Data Pipeline Optimisation:

Monitor and improve performance of data pipelines and notebooks in Microsoft Fabric. Apply tuning strategies to reduce costs, improve scalability, and ensure reliable data delivery across domains.

Collaboration with Cross-functional Teams:

Work closely with BI developers, analysts, and data scientists to gather requirements and build high-quality datasets. Support

self-service BI

initiatives by developing well-structured datasets and semantic models in Fabric.

Documentation and Reusability:

Document pipeline logic, lakehouse architecture, and semantic layers clearly. Follow development standards and contribute to internal best practices for Microsoft Fabric-based solutions.

Microsoft Fabric Platform Execution:

Use your experience with

Lakehouses

Notebooks

Data Pipelines

, and

Direct Lake

in Microsoft Fabric to deliver reliable, secure, and efficient data solutions that integrate with

Power BI

Azure Synapse

, and other Microsoft services.

Required Skills and Qualifications:

5+ years
of experience in data engineering within the
Azure ecosystem
, with relevant
hands-on experience in Microsoft Fabric
, including
Lakehouse
,
Dataflows Gen2
, and
Data Pipelines
.
Proficiency in building and orchestrating pipelines with
Azure Data Factory
and/or
Microsoft Fabric Dataflows Gen2
.
Solid experience with
data ingestion
,
ELT/ETL development
, and
data transformation
across structured and semi-structured sources.
Strong understanding of
OneLake
architecture and modern
data lakehouse patterns
.
Strong command of
SQL,Pyspark, Python
applied to both data integration and analytical workloads.
Ability to collaborate with cross-functional teams and translate data requirements into scalable engineering solutions.
Experience in
optimising pipelines
and managing compute resources for
cost-effective
data processing in Azure/Fabric.

Preferred Skills:

Experience working in the
Microsoft Fabric ecosystem
, including
Direct Lake
,
BI integration
, and Fabric-native orchestration features.
Familiarity with
OneLake
,
Delta Lake
, and
Lakehouse
principles in the context of Microsoft s modern data platform.
expert knowledge of
PySpark
, strong
SQL
, and
Python scripting
within Microsoft Fabric or Databricks notebooks.
Understanding of
Microsoft Purview
or
Unity Catalog
, or Fabric-native tools for
metadata
,
lineage
, and
access control
.
Exposure to
DevOps practices
for Fabric and Power BI, including
Git integration
, deployment pipelines, and workspace governance.
Knowledge of
Azure Databricks
for Spark-based transformations and
Delta Lake
pipelines is a plus.

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Senior Data Engineer (Azure+MS Fabric)

Experience & Salary

Skills Required

Work Mode

Job Type