Role Overview
Mindfire Solutions is hiring a mid-level AWS Data Engineer. This is a full-time role in Vapi. Part of Mindfire Solutions's Qa hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Job Description
About the Job
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.
Frequently Asked Questions
How do I apply for the AWS Data Engineer position at Mindfire Solutions?
Use the Apply button above to submit your application directly to Mindfire Solutions. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the AWS Data Engineer position at Mindfire Solutions located?
This position is based in Vapi. Mindfire Solutions has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a AWS Data Engineer at Mindfire Solutions earn?
Mindfire Solutions has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the AWS Data Engineer role at Mindfire Solutions posted?
This role was posted on June 7, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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