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Accenture

Advises businesses and runs their technology

Performance Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • At least 7.5 years of experience is required; the professional and technical skills section also states 10–12+ years of hands-on AWS cloud integration experience and the additional information section requires at least 10 years of AWS experience.
  • Amazon Web Services (AWS) expertise, including AWS Glue for ETL development, data transformation, workflow orchestration, and enterprise data integration.
  • Experience with AWS Lambda, Step Functions, EventBridge, S3, DynamoDB, Athena, SQS, and CodeBuild.
  • Experience with AWS CDK using TypeScript and AWS CloudFormation for Infrastructure as Code and automated cloud provisioning.
  • Understanding of AWS security services including Amazon Cognito, AWS WAF, AWS Certificate Manager, Amazon CloudFront, Amazon Bedrock, and Amazon SageMaker.
  • Programming skills in Python, PySpark, SQL, and TypeScript.
  • Experience developing serverless applications and backend services using AWS Lambda and TypeScript.
  • Experience developing, optimizing, and troubleshooting AWS Glue ETL jobs using Python and PySpark.
  • Knowledge of Data Mesh architecture, metadata-driven integration, and configuration-over-code platform design.
  • Experience designing event-driven architectures using EventBridge, Step Functions, Lambda, and SQS.
  • Understanding of enterprise integration patterns including REST APIs, JDBC, SFTP, and asynchronous messaging.
  • Experience designing multi-tenant integration platforms and cross-account AWS deployment strategies.
  • Proficiency in JSON schema design, metadata management, and reusable integration frameworks.
  • Experience implementing CI/CD pipelines using AWS CodeBuild, Jenkins, GitHub, and DevOps practices.
  • Knowledge of Infrastructure as Code, cloud automation, and deployment strategies.
  • Familiarity with GitHub Copilot and Claude Code for AI-assisted software development and Agentic SDLC workflows.
  • Understanding of Agile, Scrum, DevOps, and Software Development Life Cycle methodologies.
  • Experience with performance optimization, monitoring, troubleshooting, and cost optimization of AWS cloud solutions.
  • Analytical, problem-solving, stakeholder management, communication, and technical leadership skills.
  • Ability to mentor engineering teams and establish cloud integration architecture best practices.
  • A minimum of 15 years of full-time education is required.

Responsibilities

  • Diagnose issues that an in-house performance testing team has been unable to resolve.
  • Design and architect enterprise-scale AWS Glue-based data integration solutions for cloud-native applications and Data Mesh platforms.
  • Lead the design and implementation of serverless integration architectures using AWS Lambda, Step Functions, EventBridge, SQS, and AWS Glue.
  • Develop and optimize AWS Glue ETL jobs using Python and PySpark for large-scale data processing and transformation.
  • Design metadata-driven and configuration-over-code integration frameworks using JSON schemas and reusable architecture patterns.
  • Build scalable, event-driven integration pipelines supporting JDBC, REST APIs, SFTP, and messaging-based integrations.
  • Design and implement Infrastructure as Code solutions using AWS CDK with TypeScript and CloudFormation.
  • Lead multi-tenant architecture decisions and cross-account deployment strategies across AWS environments.
  • Develop backend services using TypeScript and Python for serverless applications.
  • Implement CI/CD pipelines using AWS CodeBuild, Jenkins, GitHub, and DevOps best practices.
  • Collaborate with business stakeholders, product owners, and engineering teams to gather requirements, conduct architecture reviews, and deliver solution demonstrations.
  • Ensure security, governance, monitoring, and operational excellence across AWS integration platforms.
  • Optimize AWS solutions for performance, scalability, reliability, and cost efficiency.
  • Mentor development teams and establish best practices for cloud-native integration and automation.
  • Use GitHub Copilot and Claude Code to improve engineering productivity and accelerate SDLC processes.
  • Work with Agile teams to deliver cloud solutions following DevOps and continuous integration practices.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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