AWS Data Engineer

Job Description

Senior Cloud Solutions Engineer responsible for designing, building and maintaining high‑availability, data‑driven fraud detection systems on AWS. Works across event‑driven architectures, data pipelines, and automation pipelines to deliver scalable, cost‑efficient solutions.

• Lambda
• S3
• Event Bridge
• Kinesis (Data Streams & Firehose)
• Glue (ETL & Crawlers)
• Step Functions
• Amazon Connect
• Athena
• Macie

• Python
• Py Spark
• Glue Crawlers for schema discovery and cataloging
• Parquet‑based data storage
• Building scalable data pipelines
• Event‑driven architectures (Pub/Sub model)
• Terraform (Infrastructure as Code)
• CI/CD tools and automation pipelines
• Messaging platforms like Kafka and Amazon Event Bridge
• Designing real‑time data processing systems
• Using Glue Crawlers & Athena for data lake architectures

• Develop a comprehensive plan for migrating near real‑time fraud detection campaigns from on‑premises systems to AWS.
• Design and implement event‑driven architectures to process inbound dialer data (fraud events) using services such as Amazon Event Bridge, Kafka, Kinesis Data Streams, and Kinesis Firehose.
• Build and manage scalable data pipelines using AWS Glue (ETL jobs, Crawlers), PySpark, and Python for data ingestion, transformation, and processing.
• Configure and manage Glue Crawlers to automatically discover schemas and update the Data Catalog.
• Store and optimize data using Parquet format and enable analytics through Amazon Athena for efficient querying.
• Develop integrations between Customer Profiles and messaging platforms to automatically trigger profile updates and downstream processes.
• Implement automation to trigger fraud‑related outbound calls based on updates in customer profiles.
• Design and orchestrate workflows using AWS Step Functions to manage complex processing pipelines.
• Provision and manage cloud infrastructure using Terraform (Infrastructure as Code).
• Optimize system architecture for scalability, reliability, cost‑efficiency, and ensure data integrity and security.
• Conduct end‑to‑end testing of the entire framework to validate functionality, performance, and reliability.
• Deploy, automate, and manage resources using CI/CD pipelines.
• Continuously monitor system performance and implement optimizations post‑deployment.
• Maintain detailed documentation of architecture, workflows, and operational processes.

BACHELOR OF COMPUTER SCIENCE

$120,000 to $135,000 per year