KPMG

Technology Consulting-DP AWS Data Platform Senior

Posted On

April 25, 2025

Location

Gurugram, Haryana

Experience Level

KI Professional

Job Type

Full Time

Apply By

May 7, 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.

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.

Major Duties & Responsibilities

Proficient in any object-oriented/ functional scripting languages: Pyspark, Python etc.
Experience in using AWS SDKs for creating data pipelines – ingestion, processing and orchestration.
Hands on experience in working with big data on AWS environment including cleaning/transforming/cataloguing/mapping etc.
Good understanding of AWS components, storage (S3) & compute services (EC2)
Hands on experience in AWS managed services (Redshift, Lambda, Athena) and ETL (Glue).
Experience in migrating data from on-premise sources (e.g. Oracle, API-based, data extracts) into AWS storage (S3)
Experience in setup of data warehouse using Amazon Redshift, creating Redshift clusters and perform data analysis queries
Experience in ETL and data modelling on AWS ecosystem components - AWS Glue, Redshift, DynamoDB
Experience in setting up AWS Glue to prepare data for analysis through automated ETL processes.

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