Description

You will design and build scalable data pipelines and end-to-end analytics solutions within the Azure ecosystem.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines using Azure Data Factory for reliable data movement and transformation.
• Implement and optimize ETL processes using Azure SQL Database and Azure Synapse Analytics.
• Manage cloud storage and data ingestion from CSV, JSON, and Parquet files using Azure Data Lake Storage.
• Define and implement DevOps frameworks using CI/CD pipelines for automated deployments.
• Write and optimize efficient SQL queries, stored procedures, and jobs within Azure environments.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Extensive experience with Azure Data Factory for pipeline management.
• Hands-on experience with Azure Synapse for data integration and analytics.
• Proficiency in Azure DevOps and Azure Boards-GitHub for CI/CD and version control.
• In-depth knowledge of Azure Data Lake for cloud storage management.
• Strong expertise in PL/SQL and SQL performance optimization.
• Experience with Azure Databricks, Azure AI, Azure API, and Azure AD.
• Ability to implement data security best practices and compliance standards.

Preferred Skills

• Any Graduate degree in a technical field.

Key Skills

Education

Any Graduate