About KPMG in India
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.
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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
