Data Engineer

Job Description:

Experience: 2.5+ Years

Employment Type: Full-Time

About the Role:

We are seeking a Data Engineer to design and manage the data foundation of an enterprise 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 Skills: -

Database 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)
• Azure Data Bricks
• Azure Data Factory

Nice to Have: -

• pgvector
• Pinecone
• Qdrant
• Weaviate
• OpenSearch Vector Search
• Preferred Experience
• HRMS or ERP systems
• Analytics platforms
• Enterprise reporting systems

Apply with your resume and examples of relevant data engineering projects/experiences.

Benefits:

• Flexible schedule
• Paid sick time

Work Location: Mohali, Punjab