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AWS Data EngineerTata Consultancy Services • United States
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AWS Data Engineer

Tata Consultancy Services
  • US
    United States
  • US
    United States
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Über

Must Have Technical/Functional Skills
Technical Skills
Strong expertise in AWS services including:
o Lambda
o S3
o EventBridge
o Kinesis (Data Streams & Firehose)
o Glue (ETL + Crawlers)
o Step Functions
o Amazon Connect
o Athena
o Macie
Proficient in:
o Python
o PySpark • Experience in:
o Glue Crawlers for schema discovery and cataloging
o Parquet-based data storage
o 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
o Messaging platforms like Kafka and Amazon EventBridge
o Designing real-time data processing systems
o Using Glue Crawlers + Athena for data lake architectures________________________________________
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 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 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.
Salary Range: $120,000 to $135,000 per year
  • United States

Sprachkenntnisse

  • English
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