Position Overview:
We are seeking a skilled Data Engineer with AI/ML expertise to design, build, and optimize scalable data pipelines that power machine learning models and AI-driven applications. You will work closely with data scientists, analysts, and software engineers to ensure efficient data ingestion, transformation, and storage—enabling real-time analytics and AI solutions.
Responsibilities:
- Develop, deploy, and maintain data pipelines and infrastructure
- Ensure compliance with HIPAA, data privacy, and security standards
- Integrate data sources securely to support AI and machine learning applications
- Collaborate with AI specialists to optimize data workflows
- Monitor and optimize performance of AI-driven systems and databases
- Document data structures and data governance policies
Required Qualifications:
- Bachelor’s degree in Computer Science, Data Engineering, or a related field
- Minimum 3 years of experience in data engineering
- Experience in healthcare data management
- Familiarity with compliance frameworks (HIPAA, GDPR)
- Certifications or proven experience in cybersecurity and data security is a plus
Commonly Used Tools and Applications:
- Apache Spark
- Apache Kafka
- AWS/Azure Cloud services
- Docker/Kubernetes
- SQL and NoSQL databases (PostgreSQL, MongoDB)
- Python/R programming languages
Employee Benefits:
- Competitive salary package
- Fuel card
- Annual leaves and leave encashment
- Health insurance (as per company policy)
- Employee recognition
- Performance-based promotions
- Referral bonus
