Data Engineer - Microsoft Fabric required

Role:

Location:

Experience:

Working Days:

Education:

Company Website:

LinkedIn:

Key Responsibilities:

• Design and develop robust

  data pipelines

  for large-scale data ingestion, transformation, and analytics.
• Implement scalable

  Lakehouse architectures

  using tools like

  Microsoft Fabric

  for structured and semi-structured data.
• Work with

  Python

  ,

  PySpark

  , and

  Azure services

  to support data modeling, automation, and predictive insights.
• Develop custom

  KQL queries

  and manage data using

  Power BI

  ,

  Azure Cosmos DB

  , or similar tools.
• Collaborate with cross-functional teams to integrate data-driven components with application backends and frontends.
• Ensure secure, efficient, and reliable

  CI/CD pipelines

  for automated deployments and data updates.

Skills & Experience Required:

• Strong proficiency in

  Python

  ,

  PySpark

  , and cloud-native data tools
• Experience with

  Microsoft Azure

  services (e.g., App Services, Functions, Cosmos DB, Active Directory)
• Hands-on experience with

  Microsoft Fabric

  (preferred or good to have)
• Working knowledge of

  Power BI

  and building interactive dashboards for business insights
• Familiarity with

  CI/CD practices

  for automated deployments
• Exposure to

  machine learning integration

  into data workflows (nice to have)
• Strong analytical and problem-solving skills with attention to detail

Good to Have:

• Experience with

  KQL (Kusto Query Language)

• Background in

  simulation models

  or mathematical modeling
• Knowledge of

  Power Platform integration

  (Power Pages, Power Apps)