About the JobWe are seeking a skilled Data Engineer to architect, build, and optimise scalable data platforms on cloud infrastructure. The role involves close collaboration with cross-functional teams to deliver robust, secure, and high-performance data solutions that support analytics and business operations.Core Responsibilities- Design, develop, and maintain scalable ETL/ELT pipelines, data lakes, and data warehouse solutions.- Build and optimize data ingestion frameworks for batch and real-time processing.- Develop and deploy containerised applications using Docker, Amazon ECR, and Amazon ECS.- Design and implement RESTful APIs for system integrations using modern frameworks (e.g., FastAPI).- Implement Infrastructure as Code (IaC) using Terraform and AWS CloudFormation.- Establish and maintain CI/CD pipelines for automated build, test, and deployment workflows.- Ensure adherence to data security, governance, and compliance standards (e.g., encryption, access control).- Monitor, troubleshoot, and optimise data workflows for performance and reliability.Required Skills- Strong proficiency in Python and SQL for data processing and transformation.- Hands-on experience with FastAPI for API development.- Experience with distributed data processing frameworks such as PySpark.- Solid experience with AWS services, including: Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena AWS Lambda, AWS DMS, API Gateway- Experience with containerization and orchestration (Docker, ECS).- Strong understanding of cloud-native architecture and best practices.- Excellent problem-solving, communication, and collaboration skills.Nice to have- Exposure to Generative AI and Agentic AI concepts.- Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or CrewAI.- Experience working with LLMs and NLP models (e.g., GPT, BERT, LLaMA, Mistral, Gemini).- Familiarity with LLM-as-a-Service platforms such as AWS Bedrock or Hugging Face.- Basic understanding of ML model deployment and lifecycle management.Qualifications- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.- 3–5 years of hands-on experience in Data Engineering and AWS cloud environments.
Job Title
AWS Data Engineer