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NorthBay Solutions

AWS migrations, data analytics, ML services

Principal Software Engineer - Data Platform

Data EngineeringConfirmed live in the last 24 hours
Full-timeLahore, Punjab, PakistanNo salary listed

About the Job

Requirements

  • At least 5 years of hands-on experience designing and developing scalable data solutions on Microsoft Azure.
  • Comfort working UAE business hours and following the UAE public holiday calendar.
  • Experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Event Hub, Azure Data Lake Storage Gen2, Azure Logic Apps, Azure Function Apps, Azure SQL Database, Azure Key Vault, Microsoft SharePoint integration, PySpark, Spark SQL, Delta Lake, Delta Tables, and Data Lakehouse architecture.

Responsibilities

  • Design and develop scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
  • Develop data transformation solutions using PySpark, Spark SQL, and Delta Lake.
  • Build and maintain Data Lakehouse solutions using Azure Data Lake Storage 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.

About the Company

NorthBay Solutions

AWS migrations, data analytics, ML services

NorthBay Solutions is an AWS Premier Partner that helps large organizations move their databases and applications to Amazon Web Services, modernize software, and build data analytics, DevOps/DataOps pipelines, and ML/AI solutions. Its services cover database and application migrations, data and analytics workloads, DevOps and DataOps practices, and technology modernization across cloud and data platforms. The company operates by delivering engineering and consulting projects in an agile, quality-focused way to accelerate time-to-market and maximize value from cloud investments. What sets NorthBay apart is its status as an AWS Premier Partner with deep expertise in cloud migrations, data engineering, and AI/ML workloads, along with a track record of working with recognizable brands. The goal is to help clients securely migrate to AWS, modernize their applications, and unlock data-driven insights and intelligent capabilities quickly and reliably.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Cambridge, MA
Founded
2007

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