Data Engineer Job In Kpmg In Gurgaon

Job Description:
– Evaluating, developing, maintaining and testing data engineering solutions for Data Lake and advanced analytics projects
– Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
– Distill business requirements and translate into technical solutions for data systems including data warehouses, cubes, marts, lakes, ETL integrations, BI tools or other components
– Creation and support of data pipelines built on AWS technologies including Glue, Redshift, EMR, Kinesis and Athena
– Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the AWS platform
– Optimize data integration platform to provide optimal performance under increasing data volumes
– Support the data architecture and data governance function to continually expand their capabilities
– Experience in development of Solution Architecture for Enterprise Data Lakes ( applicable for AM/Manager level candidates)
– Should have exposure to client facing roles
– Strong communication, inter-personal and team management skills
– Experience in setting up AWS Glue to prepare data for analysis through automated ETL processes
– Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and AWS Data Pipeline
– Hands on experience with AWS CLI, Linux tools and shell scripts
– Hands on experience in working with big data on AWS environment including cleaning/transforming/cataloging/mapping etc.


– 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
– BE/BTech/MCA
– 2-11 years of strong experience in 2+ of the above-mentioned skills

Kpmg is looking for B.E. / B.Tech profile candidates.