KPMG

Senior - Data Engineering

Posted On

June 12, 2025

Location

Bangalore, Karnataka

Experience Level

KI Professional

Job Type

Full Time

Apply By

June 25, 2025

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.

2 - 7 years of experience in Python
Good understanding of Big data ecosystems and frameworks such as Hadoop, Spark etc.
Experience in developing data processing task using PySpark.
Expertise in at least one popular cloud provider preferably AWS is a plus.
Good knowledge of any RDBMS/NoSQL database with strong SQL writing skills
Experience on Datawarehouse tools like Snowflake is a plus.
Experience with any one ETL tool is a plus
Strong analytical and problem-solving capability
Excellent verbal and written communications skills
Client facing skills: Solid experience working with clients directly, to be able to build trusted relationships with stakeholders
Ability to collaborate effectively across global teams
Strong understanding of data structures, algorithm, object-oriented design and design patterns
Experience in the use of multi-dimensional data, data curation processes, and the measurement/improvement of data quality.
General knowledge of business processes, data flows and quantitative models that generate or consume data
Independent thinker, willing to engage, challenge and learn new technologies

>> Qualification

Bachelor’s degree or master’s in computer science or related field.

Certification from professional bodies is a plus.

>> SELECTION PROCESS

Candidates should expect 3 - 4 rounds of personal or telephonic interviews to assess fitment and communication skills

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