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

- Robust
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