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