AWS Data Engineer

Mindfire Solutions -
Bhubaneswar, Orissa

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Job details

Qualifications

CI/CD
Cloud infrastructure
Cloud architecture
Law
Computer Science
Software deployment
Encryption
Master's degree
SQL
AWS
Docker
Bachelor's degree
Terraform
Continuous integration
REST
Natural language processing
APIs
S3
Redshift
AI
Communication skills
Python
Information Technology
AWS CloudFormation

Full job description

AWS Data Engineer

Experience : 3 - 5 years

Bhubaneswar, Delhi - NCR, Remote Working

About the Job

Featured

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 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.

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