AWS Developer with Python

Minimum 6 years of experience in AWS ETL development Strong experience with AWS services including EC2, IAM, KMS, Lambda, Batch, Terraform/CFT, EventBridge, Managed Kafka, Kinesis, and Glue Proficient in PySpark for big data processing within AWS Glue Solid understanding of data modeling concepts Proficiency in Python for scripting and development Knowledge of SQL and NoSQL data storage techniques Competence in SQL query performance tuning, index management, and database structure Design, develop, and deploy scalable ETL workflows and data pipelines Build and monitor data workflows using AWS-native services Develop and maintain infrastructure as code using Terraform or CloudFormation Collaborate with teams to implement effective data transformations and optimize pipelines Ensure data security and compliance through proper use of AWS IAM and KMS Participate in code reviews, testing, and production support Document processes, data flows, and infrastructure configurations Strong problem-solving, communication, and collaboration skills Job Type: Full-time Work Location: In person