AWS Data Engineer

Overview

Job Title: AWS Data Engineer

Location: Hyderabad

Total Experience: 8+ Years

Job Type: 1-Year Contract (extendable based on performance)

Work Mode: Hybrid

Notice Period: Immediate to 15 Days

Work Timings: Monday to Friday, 10 am to 7 pm (IST)

Interview Process

• Level 1: Internal Round

• Level 2: Client Round

(Note: The interview levels may vary)

Company Overview

Compileinfy Technology Solutions Pvt. Ltd. is a leading provider of cutting-edge technology and IT services, delivering custom solutions to businesses globally. We are committed to excellence, innovation, and collaboration to create lasting value for our clients. Our focus on high-quality services helps businesses of all sizes grow and succeed. At Compileinfy, we offer a dynamic work environment where innovation thrives, and professional growth is supported.

Job Summary

We are Looking for experienced AWS AI Data, responsible for developing, managing, and optimizing data architectures that support AI and Machine Learning (ML) workflows. The ideal candidate will have extensive experience in integrating large-scale datasets, building scalable and automated data pipelines, and working with advanced ML frameworks and tools. The candidate should also have experience with AWS ETL services (such as AWS Glue, Lambda, and Data Pipeline) to handle data processing and integration tasks effectively.

Required Skills & Experience:

1. Proficiency in programming languages such as Python, Scala, or similar.

2. Solid understanding of machine learning frameworks such as TensorFlow and PyTorch.

3. Strong experience in data classification, including the identification of PII data entities.

4. Knowledge and experience with retrieval-augmented generation (RAG) and agent- based workflows.

5. Deep understanding of how-to re-rank and improve LLM outputs using Index and Vector stores.

6. Ability to leverage AWS services (e.g., SageMaker, Comprehend, Entity Resolution) to solve complex data and AI-related challenges.

7. Ability to manage and deploy machine learning models and frameworks at scale using AWS infrastructure.

8. Strong analytical and problem-solving skills, with the ability to innovate and develop new approaches to data engineering and AI/ML.

9. Experience with AWS ETL services (such as AWS Glue, Lambda, and Data Pipeline) to handle data processing and integration tasks effectively.

10. Experience in core AWS Services including AWS IAM, VPC, EC2, S3, RDS, Lambda, CloudWatch, CloudTrail.

Desired Skills & Experience:

1. Experience with data privacy and compliance requirements, especially related to PII data.

2. Familiarity with advanced data indexing techniques, vector databases, and other technologies that improve the quality of AI/ML outputs.

Job Type: Contractual / Temporary
Contract length: 12 months

Pay: ₹1,600,000.00 - ₹1,800,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Work Location: In person