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Azure Data Engineer Microsoft Fabric Sql

  • Azure Data Engineer Microsoft Fabric Sql job type Posted on: Nov 03, 2026
  • Azure Data Engineer Microsoft Fabric Sql experience level SFE
  • Azure Data Engineer Microsoft Fabric Sql employment type Newark, New Jersey
  • Azure Data Engineer Microsoft Fabric Sql employment type Onsite
  • Azure Data Engineer Microsoft Fabric Sql salary Contract

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Job Title :

Azure Data Engineer Microsoft Fabric Sql

Job Type :

Contract

Job Location :

Newark New Jersey United States

Remote :

No

Jobcon Logo Job Description :

Role : Azure Data Engineer (Microsoft Fabric & SQL)
Location : Newark, NJ - Onsite
Duration : 6+Months C2H

Interview Mode : Video

Must have : Banking / Financial Services

Job Description:-

Required Skills:

  • Strong experience in Data Engineering using Microsoft Azure.
  • Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, and Data Warehouse.
  • Strong SQL skills, including complex queries, joins, stored procedures, and query optimization.
  • Experience with Azure Data Factory (ADF) and ETL/ELT pipeline development.
  • Experience with data integration, transformation, data modeling, and data warehousing.
  • Knowledge of PySpark, Spark SQL, and Python is preferred.
  • Experience working with large-scale enterprise data platforms.
  • Strong understanding of data quality, governance, security, and performance optimization.

Domain Experience:

  • Prior experience in Banking, BFSI, or Financial Services is mandatory.
  • Understanding of financial data, banking transactions, reporting, and regulatory requirements is preferred.

Jobcon Logo Position Details

Posted:

Nov 03, 2026

Reference Number:

86564-7542

Employment:

Contract

City:

Newark

Job Origin:

CIEPAL_ORGANIC_FEED

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Role : Azure Data Engineer (Microsoft Fabric & SQL)
Location : Newark, NJ - Onsite
Duration : 6+Months C2H

Interview Mode : Video

Must have : Banking / Financial Services

Job Description:-

Required Skills:

  • Strong experience in Data Engineering using Microsoft Azure.
  • Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, and Data Warehouse.
  • Strong SQL skills, including complex queries, joins, stored procedures, and query optimization.
  • Experience with Azure Data Factory (ADF) and ETL/ELT pipeline development.
  • Experience with data integration, transformation, data modeling, and data warehousing.
  • Knowledge of PySpark, Spark SQL, and Python is preferred.
  • Experience working with large-scale enterprise data platforms.
  • Strong understanding of data quality, governance, security, and performance optimization.

Domain Experience:

  • Prior experience in Banking, BFSI, or Financial Services is mandatory.
  • Understanding of financial data, banking transactions, reporting, and regulatory requirements is preferred.

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