Role Overview
We are looking for a Cloud Engineer with 12 years of experience in cloud infrastructure, intelligent document processing (IDP), and data pipelines. The candidate should have hands-on exposure to AWS and Azure services, Python automation, and ETL workflows. The role includes deploying cloud applications, integrating AI document models, and supporting cloud operations.
Key Responsibilities
Cloud Infrastructure (AWS & Azure)
- Design, configure, and maintain AWS (EC2, Lambda, S3, IAM, RDS, Secret Manager) and Azure environments.
- Deploy scalable, secure, and cost-efficient cloud applications.
- Integrate cloud services with Python-based workflows.
Intelligent Document Processing (IDP)
- Build and enhance document processing solutions using Azure Document Intelligence, Azure OpenAI, and AWS Textract.
- Train, test, and optimize AI/ML models for document extraction.
- Perform data cleaning, preprocessing, and transformation.
ETL & Data Pipelines
- Develop and automate ETL pipelines using PySpark, Python, AWS, and SQL.
- Load, transform, and validate data using SSMS and DBeaver.
- Troubleshoot and optimize pipelines via CloudWatch; support data replication (e.g., Syniti).
Required Skills
- Hands-on AWS (EC2, Lambda, S3, IAM, RDS, CloudWatch, Secret Manager).
- Knowledge of Azure AI services (Document Intelligence, Azure OpenAI).
- Strong Python, PySpark, SQL skills.
- ETL workflow development and data analysis experience.
- Familiarity with DBeaver, SSMS, Power BI, Excel.
- Basic cloud concepts and security best practices.
Preferred Skills
- Knowledge of R, SAS, or statistical modeling.
- Exposure to big-data tools or data visualization.
- Basic experience in AI/ML model training or fine-tuning.
