Senior Data Engineer

Overview

A valued client of Namsbel

Website: Visit Website

Business Type: Consulting Firm

Company Type: Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: IT Consulting

Salary Range: ₹ 15-25 Lacs PA

Job Description

This is a permanent role with a Bootstrapped Organization in IT Consulting domain, a valued client of Namsbel.

Job Summary

We are looking for a highly experienced Data Analytics / Data Warehouse Engineer with strong expertise in Azure Databricks and Azure Data Factory (ADF). The ideal candidate will have hands-on experience in designing and developing large-scale data analytics, data warehouse, and data lake solutions, along with proven exposure to Oracle to Databricks migration projects.

Roles & Responsibilities

• Design, develop, and maintain data analytics and data warehouse solutions using Azure Data Factory (ADF) and Azure Databricks
• Architect and implement large-scale data distribution and integration solutions
• Build and manage Data Lake solutions using Azure Databricks with large, multi-format datasets
• Work on Oracle to Databricks migration projects, ensuring data quality and performance
• Integrate data solutions with service-oriented architecture (SOA) and enterprise systems
• Participate in cloud deployments on Microsoft Azure within an Agile SDLC environment
• Collaborate with cross-functional teams across backend, frontend, network, OS, and middleware layers
• Ensure high standards of quality, performance, and reliability in all deliverables
• Manage multiple projects in a fast-paced environment while meeting timelines
  
  

• Azure Databricks
• Azure Data Factory (ADF)
• Azure Storage Gen2
• Oracle SQL / PL-SQL
• Oracle to Databricks migration
• CI/CD pipelines
  
  

• 8–10 years of experience in data analytics and data warehouse solutions
• Minimum 5 years of hands-on experience with Azure stack
• Strong understanding of cloud-native architectures (Microsoft Azure preferred)
• Experience working with modern programming languages
• Solid understanding of full-stack concepts (backend, frontend, network, OS, middleware)
  
  

• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• High attention to detail and quality
• Ability to learn quickly and adapt to new technologies
• Capability to handle pressure situations without compromising quality
• Well-organized with strong time and project management skills