Azure Data Engineer - Consultant

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

The person will work on a variety of projects in a highly collaborative, fast-paced environment. The person will be responsible for software development activities of KPMG, India. Part of the development team, he/she will work on the full life cycle of the process, develop code and unit testing. He/she will work closely with Technical Architect, Business Analyst, user interaction designers, and other software engineers to develop new product offerings and improve existing ones. Additionally, the person will ensure that all development practices are in compliance with KPMG’s best practices policies and procedures. This role requires quick ramp up on new technologies whenever required.

Role: Azure Data Engineer 

Location: Bangalore

Experience: 4 to 6 years 

• Data Management: Design, implement, and manage data solutions on the Microsoft Azure cloud platform.
• Data Integration: Develop and maintain data pipelines, ensuring efficient 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: Strong 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.