Azure Data Engineer

Role Overview

We are seeking a skilled Azure Data Engineer to design, implement, and maintain scalable data pipelines and storage solutions within the Microsoft Azure ecosystem. You will be responsible for building robust ETL/ELT processes and collaborating with stakeholders to deliver high-quality, data-driven solutions.

Responsibilities

• Design and implement scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
• Develop, optimize, and maintain data storage solutions utilizing Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB.
• Build and manage ETL/ELT processes, ensuring robust data integration and reliability.
• Collaborate with business and technical stakeholders to gather requirements and deliver data-driven solutions.
• Monitor, troubleshoot, and optimize data pipelines for both performance and cost.
• Implement and ensure data security, privacy, and compliance in accordance with industry standards.
• Maintain up-to-date documentation for data workflows, storage architectures, and processes.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related discipline.
• 3 years of experience in data engineering, including hands-on work with Microsoft Azure Data Services.
• Strong proficiency in SQL, data modeling, and ETL process design.
• Experience with Python and/or other relevant programming languages.
• Demonstrated expertise in Azure Data Factory, Data Lake, Databricks, Synapse Analytics, and Cosmos DB.
• Experience in Power BI or other BI/data visualization tools.
• Familiarity with DevOps practices and CI/CD pipelines.
• Knowledge of data security best practices in cloud environments.

Nice to Have

• Microsoft Certified Azure Data Engineer Associate or Databricks Engineer certifications.

Benefits

• Flexible schedule
• Leave encashment
• Life insurance
• Provident Fund
• Work from home

Skills

• Azure Data Factory
• Azure Databricks
• Python
• SQL
• Azure Cosmos DB