Azure Data Engineer

We are looking for an experienced Azure Data Engineer with strong expertise in the Microsoft Azure data ecosystem. The role involves designing and implementing scalable data solutions using Azure services to support analytics, reporting, and business intelligence initiatives.

Certifications:

DP 700 MS Fabrics is Mandatory

Key Responsibilities:

Design and develop end-to-end data pipelines using Azure services

Build and maintain ETL/ELT processes using Azure Data Factory (ADF)

Develop scalable data solutions using Azure Databricks and PySpark

Manage and optimize data storage solutions (Azure Data Lake, Blob Storage)

Implement and maintain data warehouses using Azure Synapse Analytics

Ensure data quality, governance, and security standards

Integrate data from various sources including APIs, databases, and flat files

Collaborate with Power BI teams for reporting and visualization

Monitor and troubleshoot data pipelines and workflows

Optimize performance and cost of Azure data solutions

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Required Skills & Qualifications

Hands-on experience with:

Azure Data Factory (ADF)

Azure Databricks

Experience in data modeling (Star/Snowflake schema)

Understanding of ETL/ELT frameworks and best practices

Knowledge of data integration and transformation techniques

Familiarity with REST APIs and data ingestion patterns

Experience with version control tools (Git)

Preferred Skills

Experience with Power BI integration and data modeling

Knowledge of Azure DevOps & CI/CD pipelines

Exposure to real-time streaming (Azure Event Hub, Stream Analytics)

Experience with Delta Lake architecture

Familiarity with data governance tools (Purview)

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Key Competencies:

Strong analytical and problem-solving skills

Effective communication and stakeholder management

Ability to work in agile environments

Continuous learning mindset