Data Engineer (Data Lead) – L5

🚀 Hiring: Data Engineer (Data Lead) – L5
📍 Location: Hyderabad, India
💼 Level: L5
⏰ Engagement: 30 hours/week
📅 Duration: 16 weeks
🛠️ Primary Skill: Data Engineering – Level 3
About the Role
We are looking for an experienced Data Engineer / Data Lead to design and implement the data layer supporting a Data Normalization Engine.
The ideal candidate will have strong experience in data modeling, ETL pipelines, AWS DynamoDB, AWS Glue, data validation, and embedding storage patterns, with the ability to build scalable data structures that support complex normalization and matching workflows.
Key Responsibilities
Design and implement a canonical data schema to normalize structurally varied builder documents into a standardized field set.
Design and implement the community profile data model, including rules, mandates, waste factors, and builder attributes.
Build hierarchical data models across Lot → Community → Builder Region → Builder National → Global levels.
Develop the synonym pool and embedding store supporting a 3-tier learning cascade.
Build data validation and quality-scoring pipelines to ensure data accuracy and consistency.
Integrate data workflows with the existing SAP Material Master to support fuzzy matching.
Ensure clean and reliable data flow into the existing Phase 1 extraction, matching, and takeoff pipeline.
Design scalable data storage and retrieval patterns using AWS services.
Collaborate with engineering and product teams to translate data requirements into robust technical solutions.
Required Skills
✅ Data Engineering – Level 3
✅ AWS DynamoDB – Level 3
✅ AWS Glue – Level 3
✅ Strong experience in data modeling and schema design
✅ Experience building ETL/ELT pipelines
✅ Experience with data validation and quality frameworks
✅ Understanding of embedding storage / vector data patterns
✅ Experience integrating data with enterprise systems such as SAP
✅ Strong understanding of data normalization and hierarchical data models
Preferred Experience
Experience with fuzzy matching and similarity-based data processing
Experience working with AI/ML-enabled data pipelines
Familiarity with embeddings, synonym management, and learning systems
Experience designing data architectures for document processing or data normalization platforms
Engagement Details
📍 Hyderabad, India
🏷️ Level: L5
⏱️ 30 hours/week
📆 16-week engagement
📩 Interested candidates can share their updated CV/profile for consideration.
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Work arrangement
No