KPMG

Executive - Azure Data Engineering

Posted On

Jan. 23, 2025

Location

Bangalore, Karnataka

Experience Level

KI Professional

Job Type

Full Time

Apply By

Feb. 15, 2025

Job Description

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, Jaipur, 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-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Role: Azure Data Engineer

Location: Bangalore

Experience: 2 to 4 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.

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