Azure data engineer Manager

About the role:
We are looking for an experienced Azure Data Engineer with strong expertise in designing, building, and maintaining scalable data engineering solutions on Microsoft Azure.
The ideal candidate should have hands-on experience in developing end-to-end data pipelines, data ingestion, transformation, processing, and data warehousing using modern Microsoft technologies such as Microsoft Fabric, OneLake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory.
Key Responsibilities
Design, build, and maintain scalable data solutions on Microsoft Azure.
Develop and manage end-to-end data pipelines for ingesting, transforming, and integrating data from multiple sources.
Design scalable and reliable data models and Data Warehouse solutions.
Develop ETL/ELT pipelines using Azure Data Factory, Fabric, Databricks, Synapse, and related Azure services.
Implement data ingestion, transformation, and processing frameworks using Spark.
Work with Microsoft Fabric, OneLake, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and ADLS.
Implement data security, governance, privacy, and access controls across Azure data platforms.
Monitor, troubleshoot, and optimize data workflows for reliability, performance, and cost efficiency.
Optimize data storage and processing solutions using Azure best practices.
Collaborate with clients and internal stakeholders to understand business requirements and translate them into scalable technical solutions.
Provide technical leadership and contribute to solution design, implementation, client discussions, demos, and presentations.
Mentor junior team members and contribute to Data Engineering best practices.
Mandatory Skills & Experience
Minimum 6+ years of overall professional experience, with significant focus on Azure Data Engineering.
Minimum 4+ years of experience designing and building data ingestion, processing, and analytical pipelines.
Strong hands-on experience with:
Microsoft Fabric
OneLake
Azure Databricks
Azure Synapse Analytics
Azure Data Factory
ADLS / Azure Blob Storage
Azure Functions
Strong expertise in:
ETL / ELT
Python
SQL
PySpark
Spark SQL
Data Engineering
Data Warehousing
Data Modelling
Experience working with RDBMS technologies.
Understanding of Big Data file formats and compression techniques.
Experience with Azure DevOps, Git, and VSTS.
Preferred Skills
Strong hands-on experience with Microsoft Fabric, including:
Medallion Architecture
Fabric Notebooks
Metadata-driven ingestion frameworks
Data Quality frameworks
SCD Type 1 and Type 2 transformations
Experience designing and deploying scalable ETL pipelines using Azure Data Factory, Synapse Analytics, Azure Functions, and Databricks.
Strong knowledge of Data Warehouse architecture and large-scale Data Modelling.
Experience with Azure RBAC and IAM, including access controls and security compliance.
Experience with Data Governance, performance optimization, and cost-efficient data solutions.
Experience working in consulting or client-facing environments.
Ability to provide technical leadership and mentor junior team members.
Strong communication and presentation skills.
Exposure to Microsoft Copilot and Generative AI concepts.
Experience with Power BI for dashboard development, KPI reporting, and business insights.
Preferred Certifications
Relevant Microsoft certifications would be an added advantage:
DP-600
DP-700
DP-203
DP-900
AI-102
AI-900
PL-300
Educational Qualification
Bachelor's or Postgraduate degree in Computer Science, Computer Engineering, Information Technology, or a related discipline.

Work arrangement
Hybrid