AWS Data Engineer
As an AWS Data Engineer specializing in cloud-based data and AI-enabled data processing platforms, you will design, develop, and implement data engineering solutions using AWS services, with a focus on unstructured data processing, data classification, document extraction, natural language processing, and image analysis.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your role and responsibilitiesAs an AWS Data Engineer specializing in cloud-based data and AI-enabled data processing platforms, you will design, develop, and implement data engineering solutions using AWS services, with a focus on unstructured data processing, data classification, document extraction, natural language processing, and image analysis.
This role requires a strong foundation in AWS Data Engineering, hands-on experience with AWS-native services such as Amazon Comprehend, Amazon Macie, Amazon Textract, and Amazon Rekognition, as well as good knowledge of serverless development and cloud-native integration patterns. Experience with AWS Lambda, Python or Node.js, and DevOps practices will be considered an advantage.
Your primary responsibilities will include:
• Design and Develop AWS Data Solutions: Design, build, and maintain scalable data pipelines and cloud-native data processing solutions using AWS services.
• Work with AWS AI and Data Services: Develop solutions using Amazon Comprehend for natural language processing, Amazon Macie for sensitive data discovery and classification, Amazon Textract for document and text extraction, and Amazon Rekognition for image and video analysis.
• Process Structured and Unstructured Data: Build data flows capable of ingesting, transforming, enriching, and analyzing structured, semi-structured, and unstructured data from multiple sources.
• Develop Serverless Components: Implement serverless processing logic using AWS Lambda, with Python or Node.js, to automate data processing, integration, and orchestration activities.
• Ensure Security and Data Governance: Apply AWS security best practices, including IAM, encryption, access control, monitoring, and sensitive data protection, especially when working with confidential or personal data.
• Optimize Data Pipelines: Improve the performance, scalability, reliability, and cost-efficiency of AWS-based data processing workflows.
• Collaborate on Solution Delivery: Work closely with architects, business analysts, application teams, security teams, and other stakeholders to deliver solutions aligned with business requirements.
• Support DevOps Practices: Contribute to deployment automation, CI/CD pipelines, infrastructure as code, environment management, monitoring, and operational support where required.
• Lead or Support Technical Delivery: Depending on seniority level, either independently deliver assigned components or take ownership of complex technical workstreams, providing guidance to other engineers when needed.
Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise• Strong experience in AWS Data Engineering.
• Hands-on experience with AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Athena, IAM, CloudWatch, and related AWS components.
• Practical knowledge of Amazon Comprehend, Amazon Macie, Amazon Textract, and Amazon Rekognition.
• Experience working with data ingestion, transformation, enrichment, and processing pipelines.
• Good understanding of cloud security, data privacy, and governance principles.
• Experience with Python and/or Node.js for automation, data processing, or serverless development.
• Ability to troubleshoot, optimize, and support cloud-based data solutions.
DevOps know-how, including CI/CD, infrastructure as code, Git-based workflows, and automated deployments.
• Experience with Terraform, AWS CloudFormation, GitHub Actions, Jenkins, or similar tools.
• Experience with event-driven architectures using services such as Amazon EventBridge, Amazon SQS, Amazon SNS, or Amazon Kinesis.
• Knowledge of GDPR, sensitive data classification, and enterprise data protection requirements.
• Experience integrating AWS AI/ML services into enterprise applications or data platforms.
ABOUT BUSINESS UNIT
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.