AWS Data Engineer

Experience : 3 - 5 years

Bhubaneswar, Delhi - NCR, Remote Working

About the Job

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We 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 up-to-date 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




Robust 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).
Solid 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.

📌 Aws Data Engineer Bhubaneswar
🏢 Mindfire Solutions
📍 Bhubaneswar