Job Description
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, 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.
Responsibilities
We are seeking a skilled professional with strong expertise in
Quantexa to configure, deploy, and optimize solutions on cloud platforms. The ideal candidate will have hands-on experience with Quantexa software and a solid background in data engineering.
Mandatory Skills
- Quantexa Certified and proven Quantexa implementation experience.
- Strong understanding of data engineering principles.
- Proficiency in Scala (preferred), Java, Python, or other data engineering languages.
- Experience with cloud platforms (AWS, Azure, Google Cloud).
- Knowledge of big data technologies and distributed systems.
- Familiarity with data modeling and ETL processes.
- Strong problem-solving and analytical skills.
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.
Qualifications
Bachelor's degree in Computer Science, Data Engineering, or related field.
