IN_Senior Associate_AWS Data Engineer_ GCC_Advisory_Bangalore
Core
Lead and perform hands-on development of scalable, cloud-native data engineering solutions on AWS, handling large datasets and complex data models.
Role type
Senior AWS Data Engineer
Builds
Scalable data platforms, ETL/analytics pipelines, and cloud-native infrastructure on AWS.
Domain
Cloud Data Engineering / Big Data
Deliverable
production ML models
Required skills
Python, PySpark, SQL Server, AWS (EC2, Lambda, S3, RDS, Aurora, Postgres, DynamoDB), Apache Airflow, AWS Step Functions, AWS Glue, AWS EMR, AWS Athena, AWS Redshift, AWS CloudFormation, AWS CodePipeline, AWS DataSync, AWS DMS, API Gateway, IAM
Preferred skills
API integration patterns, SSO implementations, Streaming technologies (Kafka, Kinesis)
Technologies
Python, PySpark, SQL Server, AWS, Apache Airflow, AWS Step Functions, AWS Glue, AWS EMR, AWS Athena, AWS Redshift, AWS CloudFormation, AWS CodePipeline, AWS DataSync, AWS DMS, API Gateway, IAM
Responsibilities
Lead and perform hands-on development of data engineering solutions; Design, develop, and deploy cloud-native solutions on AWS; Design and manage database solutions; Build and orchestrate data workflows; Develop and optimize ETL/analytics pipelines; Implement and manage infrastructure as code; Plan and execute data migration strategies; Integrate services using API Gateway and manage secure access controls; Handle large datasets and data models end-to-end; Write, optimize, and maintain SQL Server queries and stored procedures.
Seniority
Senior, hands-on IC
