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Senior - AWS Data Engineering
KPMG India
posted 6hr ago
Job Role Insights
Flexible timing
Key skills for the job
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
- Distil 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
THE INDIVIDUAL
- 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.
- 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.
- Certifications on AWS will be an added plus.
Employment Type: Full Time, Permanent
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29%
19%
18%
6%
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2%
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What people at KPMG India are saying
AWS Data Engineer salary at KPMG India
reported by
5
employees
with 1-5
years exp.
₹9
L/yr - ₹22
L/yr
52%
more
than the average AWS Data Engineer Salary in India
View more details
What KPMG India employees are saying about work life
based on 5.2k employees
Flexible timing
Monday to Friday
No travel
Day Shift
KPMG India Benefits
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