Experience: 3+ Years
Employment Type: Full-Time
About the Role
We are seeking a Database Engineer to design and manage the data foundation of an enterprise HR-EMS-GPT platform. The ideal candidate will have strong database design skills, ETL expertise, and experience working with large-scale enterprise datasets.
Key Responsibilities
- Design scalable database architectures
- Build ETL and data ingestion pipelines
- Create HR analytics-ready data models
- Optimize dashboard and reporting performance
- Manage data validation and quality controls
- Design backup and recovery strategies
- Support SAP and SuccessFactors integrations
Required SkillsDatabase Technologies
- PostgreSQL
- MongoDB
- SQL optimization
- Indexing strategies
- Stored procedures
- Views and materialized views
Data Engineering
- ETL/ELT pipelines
- Data migration
- Incremental synchronization
- Data validation
- Data deduplication
- CSV/Excel processing
- API-based ingestion
Analytics Data Modeling
Experience designing schemas for:
- Employee Management
- Attendance & Leave
- Shift Management
- Performance Reviews
- Training Records
- Productivity Metrics
- Audit Logs
- Role & Permission Systems
Cloud Data Services
- AWS RDS
- Amazon S3
- AWS Glue (preferred)
- AWS Lambda (preferred)
Nice to Have
- pgvector
- Pinecone
- Qdrant
- Weaviate
- OpenSearch Vector Search
Preferred Experience
- HRMS or ERP systems
- Analytics platforms
- Enterprise reporting systems
- AI-enabled data architectures
Apply with your resume and examples of relevant database or data engineering projects.
Benefits:
- Flexible schedule
- Paid sick time
Work Location: In person
