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Principal Software Engineer (Data Platform) - NorthBay Solutions

NorthBay Solutions · Python · SQL · ETL/ELT · Azure Data Factory · 19 days ago
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Salary
≈ $17k – $51k per year (Estimated)
Location
In office (Karachi)
Seniority
Principal · 5+ years exp

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 10, 2026.

Overview
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Profile match

NorthBay Solutions

NorthBay Solutions is a cloud consulting company and AWS Premier Partner specialising in generative AI, machine learning, data analytics, cloud migration and managed cloud services, with its US headquarters in Andover, Massachusetts. It runs an onshore and offshore delivery model with large engineering teams in Lahore, Karachi and Islamabad and serves clients in the Middle East from Abu Dhabi, Dubai, Riyadh and Cairo. It hires .NET and DevOps engineers, Azure AI specialists, cyber and network security engineers and data governance and analytics specialists, many assigned to client projects in the UAE.
northbaysolutions.com · HQ: Andover, United States · 201-500 employees
Tech stack of NorthBay Solutions

Experience: 5+ Years

Location: Hybrid - Pakistan

Working Hours: UAE Business Hours

Job Summary

We are looking for a Senior Azure Data Engineer with 5+ years of hands-on experience in designing and developing scalable data solutions on Microsoft Azure.

Key Skills

  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Event Hub
  • Azure Data Lake Storage Gen2
  • Azure Logic Apps & Function Apps
  • Azure SQL Database
  • Azure Key Vault
  • Microsoft SharePoint Integration
  • PySpark & Spark SQL
  • Delta Lake & Delta Tables
  • Data Lakehouse Architecture

Responsibilities

  • Design and develop scalable ETL/ELT pipelines using ADF and Azure Databricks.
  • Develop data transformation solutions using PySpark, Spark SQL, and Delta Lake.
  • Build and maintain Data Lakehouse solutions using ADLS Gen2.
  • Work with Synapse, Event Hub, Logic Apps, Function Apps, and Azure SQL for data integration and processing.
  • Implement secure integrations using Azure Key Vault and SharePoint.
  • Troubleshoot and optimize data pipelines and Spark workloads.

Note: Candidate must be comfortable working in UAE business hours and following the UAE public holiday calendar.

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