Data Engineer- NoSQL

Summary: The primary goal of this Data Engineer role is to leverage advanced NoSQL expertise to design and optimize large-scale applications using document stores such as DynamoDB and DocumentDB. The focus is on enhancing data modeling, performance, and security to meet complex application needs.

Industry: Pharmacy

Remote work: Fully remote

Project language: English- must have

Project length: 6 months contracts + prolongations

Start: ASAP/ one month notice period

Assignment type: B2B

Responsibilities:

• Design and evolve data models for document databases (DynamoDB and/or DocumentDB) based on application access patterns and functional requirements.

• Define partitioning and key strategies (partition/sort keys, composite keys) to ensure scalability and prevent hot partitions.

• Design, implement, and maintain indexing strategies (e.g., DynamoDB GSI/LSI where applicable) to support efficient querying, filtering, and sorting at scale.

• Develop flexible document schemas that support complex search use cases and large document collections while remaining extensible over time.

• Optimize query performance through query tuning, cost/latency analysis, and continuous refinement of indexes and data structures.

• Implement secure access patterns, including item- or collection-level RBAC, aligned with security and compliance requirements.

• Address cross-partition sorting and retrieval challenges by applying techniques that minimize performance degradation.

• Partner with application and platform teams to align on data contracts, integration patterns, and operational standards (monitoring, reliability, cost control).

• Document design decisions and contribute to architecture reviews, recommending improvements for scalability, resilience, and security.

Must Haves:

• Advanced expertise in NoSQL technologies, particularly DynamoDB and DocumentDB.

• Experience in designing partitioning strategies.

• Proficiency in data modeling for document stores.

• Strong knowledge of performance optimization techniques.

• Understanding of security best practices in database implementations.

Nice to Haves:

• Experience with other NoSQL systems.

• Familiarity with cloud services related to database management.