AWS Data Engineer

Job: AWS Data Engineer

Location: Remote

Fulltime

Pay Rate : $110,000/ - $120,000/ Annum + Benefits

Roles & Responsibilities

• 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 EventBridge, 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 Client 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 o f 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.

Must Have Technical/Functional Skills

• Strong expertise in AWS services including:
• Lambda
• S3
• EventBridge
• Kinesis (Data Streams & Firehose)
• Glue (ETL + Crawlers)
• Step Functions
• Amazon Connect
• Athena
• Macie

Proficient in:

• Python
• PySpark
• Experience in:
• Glue Crawlers for schema discovery and cataloging
• Parquet-based data storage
• Building scalable data pipelines
• Strong understanding of event-driven architectures (Pub/Sub model)
• Hands-on experience with Terraform (Infrastructure as Code)
• Familiarity with CI/CD tools and automation pipelines
• Messaging platforms like Kafka and Amazon EventBridge
• Designing real-time data processing systems
• Using Glue Crawlers + Athena for data lake architectures

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.