AWS Data Engineer

Mindfire Solutions; India; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Mindfire Solutions is seeking a skilled Data Engineer to architect, build, and optimise scalable data platforms on cloud infrastructure. You will collaborate with cross-functional teams to deliver robust, secure, and high-performance data solutions that support analytics and business operations.

This role emphasizes designing ETL/ELT pipelines, leveraging PySpark, FastAPI for APIs, and IaC with Terraform and CloudFormation.

Qualifications

• 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 Lambda, DMS, API Gateway.
• Experience with containerization and orchestration (Docker, ECS).
• Strong understanding of cloud-native architecture and best practices.

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.

Skills

Python

SQL

FastAPI

PySpark

AWS

Docker

ECS

Terraform

CloudFormation

API design

Education

Bachelor's or Master's in CS/IT or related field

Tools

Docker

Terraform

CloudFormation

Job description

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: 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.