- 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.
KPMG Recruitment Drive 2025 | KPMG Hiring Software Engineer
The job you are looking for is no longer available..- Company Name
- KPMG
- Company Website
- https://kpmg.com/xx/en.html
- Job Role
- Data Enginner
- Job Type
-
- Fresher
- Job Location
-
- Bengaluru/Bangalore
- Skills
-
- Java
- Scala
- Python
- SQL
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
- Job will expire on
- 05 Jun 2025
About Company
Job Overview
- You have been involved assembling large, complex structured and unstructured datasets that meet functional/non-functional business requirements.
- Experience of working with cloud data platform and services.
- Conduct code reviews, maintain code quality, and ensure best practices are followed.
- Debug and upgrade existing systems.
- Nice to have some knowledge in Devops
Eligibility Criteria
- Bachelor’s degree in computer science or related field
- Experience in Snowflake and Knowledge in transforming data using Data build tool.
- Strong programming skills in Python, Pyspark and some combination Java, Scala (good to have)
- Experience in AWS and API Integration in general with knowledge of data warehousing concepts.
- Excellent communication and team collaboration skills
Job Description
- Should have experience in Data and Analytics and overseen end-to-end implementation of data pipelines on cloud-based data platforms.
- Strong programming skills in Python, Pyspark and some combination Java, Scala (good to have)
- Experience writing SQL, Structuring data, and data storage practices.
- Experience in Pyspark for Data Processing and transformation.
- Experience building stream-processing applications (Spark steaming, Apache-Flink, Kafka, etc.)
- Maintaining and developing CI/CD pipelines based on Gitlab.
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