Job Description
Data Management: Design, implement, and manage data solutions on the Microsoft Azure cloud platform.
Data Integration: Develop and maintain data pipelines, ensuring effective data extraction, transformation, and loading (ETL) processes using Azure Data Factory.
Data Storage: Work with various Azure data storage solutions like Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB.
Big Data Processing: Utilize big data technologies such as Azure Databricks and Apache Spark to handle and analyze large datasets.
Data Architecture: Design and optimize data models and architectures to meet business requirements.
Performance Monitoring: Monitor and optimize the performance of data systems and pipelines.
Collaboration: Collaborate with data scientists,



analysts, and other stakeholders to support data-driven decision-making.
Security and Compliance: Ensure data solutions comply with security and regulatory requirements.
Technical Skills: Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data tools.
Analytical Skills: Solid analytical and problem-solving skills.
Communication: Excellent communication and teamwork skills.
Certifications: Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus.

📌 Azure Data Engineer Consultant Bengaluru (India)
🏢 KPMG
📍 India