Senior Azure Data Engineer

Job Title: Senior Azure Data Engineer

Job Summary

We are looking for a highly experienced Senior Azure Data
& Analytics Engineer with deep expertise in Azure -based Big data and
analytics platforms. The ideal candidate will have strong hands -on experience
designing and building scalable cloud data solutions, implementing robust
ETL/ELT pipelines, and enabling advanced analytics and reporting. This role
requires close collaboration with data architects and stakeholders to deliver
end -to -end Azure data platform solutions.

Key Responsibilities

• Design,
  develop, and maintain scalable Azure Data & Analytics solutions using
  modern big data and cloud -native architectures
  
• Build
  and optimize ETL / ELT pipelines using Azure Data Factory and Azure
  Synapse Pipelines with strong focus on performance, reliability, and error
  handling
  
• Develop
  and manage big data processing solutions using Azure Databricks (PySpark)
  
• Implement
  and manage data storage solutions using Azure Data Lake Storage (ADLS
  Gen2)
  
• Design
  and support Cloud Data Warehouse solutions using Azure Synapse Analytics
  and Microsoft Fabric
  
• Work
  closely with Data Architects on end -to -end solution design and
  implementation
  
• Identify
  performance bottlenecks and optimize data pipelines and processing
  workflows
  
• Design
  reporting -ready semantic and presentation layers to support Power BI /
  Tableau analytics
  
• Develop
  and optimize SQL queries and data models for analytics and reporting use
  cases
  
• Ensure
  best practices for data security, governance, and scalability are followed
  
• Provide
  technical guidance and mentorship to junior team members
  

Required Skills & Experience

• 10+
  years of overall IT experience, with 7–8 years of hands -on experience in
  Azure Data & Analytics
  
• Strong
  understanding of big data processing paradigms and schema -on -read
  methodologies
  
• Mandatory
  hands -on experience with:
  
• Azure
  Data Factory (ADF)
  
• Azure
  Databricks (PySpark – compulsory)
  
• Azure
  Data Lake Storage (ADLS Gen2)
  
• Azure
  Synapse Analytics
  
• Microsoft
  Fabric
  
• Strong
  coding experience in Python (PySpark) and SQL
  
• Experience
  designing and implementing Cloud Data Warehouse solutions
  
• Proven
  experience building robust, scalable ETL / ELT pipelines with performance
  tuning and error handling
  

Good to Have

• Experience
  with Power BI DAX
  
• Exposure
  to Tableau reporting and analytics
  
• Experience
  working in Agile / Scrum delivery environments
  

Qualifications

• Bachelor’s
  or Master’s degree in Computer Science, Engineering, or a related
  technical field