AWS Data Engineer

Mindfire Solutions · Bhubaneswar

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Last observed by our collector: 9 October 2026 at 12:36 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 5100

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Collected minimum qualification: - 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.Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role 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. 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. 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. 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.

Collected minimum qualification

- 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.

Collected experience requirement

3-5 years