Data Engineer - Microsoft Fabric

Ethiraj Associates

United States

Remote

USD 120,000 - 170,000

Full time

14 days+
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Job summary

Ethiraj Associates is seeking a data engineering professional to design and implement scalable data solutions using Microsoft Fabric in a US-based environment. You will build enterprise ETL/ELT pipelines and data models to support analytics across the organization.

Collaborate with architects and engineering teams to implement governance, lineage, and data quality, while contributing to Data Mesh and data product initiatives and ensuring alignment with stakeholders.

Qualifications

  • Experience designing scalable data platforms using modern data fabrics.
  • Strong SQL, data modelling and analytics skills.
  • Familiarity with governance, lineage and data quality practices.

Responsibilities

  • Design and implement scalable data solutions using Microsoft Fabric.
  • Build enterprise ETL/ELT and data pipelines.
  • Develop data models and support analytics/semantic models.
  • Implement governance, lineage and data quality.
  • Contribute to Data Mesh and Data Product initiatives.
  • Work closely with architects, engineering teams and stakeholders.

Skills

Microsoft Fabric
OneLake Lakehouse Data Warehouse
Data Factory Pipelines
Medallion Architecture
SQL Data Modelling
Python PySpark
Power BI Semantic Models
Microsoft Purview
Data Governance Lineage Data Quality
DataOps CI/CD
Data Mesh Data Products

Job description

Key Skills:
  • Microsoft Fabric
  • OneLake, Lakehouse & Data Warehouse
  • Data Factory / Pipelines
  • Medallion Architecture
  • SQL & Data Modelling
  • Python / PySpark
  • Power BI / Semantic Models
  • Microsoft Purview
  • Data Governance, Lineage & Data Quality
  • DataOps & CI/CD
  • Data Mesh & Data Products
What Youll Do:
  • Design and implement scalable data solutions using Microsoft Fabric
  • Build enterprise ETL/ELT and data pipelines
  • Develop data models and support analytics/semantic models
  • Implement governance, lineage and data quality
  • Contribute to Data Mesh and Data Product initiatives
  • Work closely with architects, engineering teams and stakeholders
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