Data Modeler

Robotic Technologies Automation; Sunnyvale (CA); On-site; USD 83,000 - 118,000; Full time

Job summary

Robotic Technologies Automation seeks an experienced AI/ML Developer focused on data modeling with AWS DynamoDB. You will design scalable data models, define table structures, and optimize NoSQL schemas for cloud-native applications.

Collaborate with solution architects and engineers to ensure high performance, availability, and security while leveraging DynamoDB, GSI/LSI, and related AWS services.

Qualifications

• Experience with AWS DynamoDB and NoSQL data modeling.
• Ability to design scalable, high-performance data models.
• Knowledge of DynamoDB Streams, TTL and access patterns.

Responsibilities

• Design and implement logical and physical data models in DynamoDB.
• Define table structures, partition/sort keys, and secondary indexes.
• Model data based on access patterns and business requirements.
• Create efficient NoSQL schemas for high-volume, low-latency apps.
• Collaborate with AWS services to build scalable data solutions.
• Optimize DynamoDB performance, throughput, and cost.
• Implement GSI and LSI to support queries.
• Handle data migration, integration, and optimization.
• Ensure data consistency, availability, and security.
• Work with developers, architects, and data engineers.

Skills

DynamoDB data modeling

NoSQL design

Partition & sort keys

GSI & LSI

Single-table design

SQL/NoSQL concepts

AWS services

AWS Lambda

Data modeling proficiency

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Details

Job Title: AI/ML Developer

Location: Sunnyvale,, CA

Duration: 10 Months

Bill Rate: $73/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

We are looking for an experienced Data Modeler with strong expertise in AWS DynamoDB and NoSQL database design. The candidate will be responsible for designing scalable, high-performance data models for cloud-native applications, optimizing data access patterns, and developing efficient database structures using Amazon DynamoDB.

Key Responsibilities

1. Design and implement logical and physical data models using Amazon DynamoDB.
2. Define DynamoDB table structures, partition keys, sort keys, and secondary indexes.
3. Design data models based on application access patterns and business requirements.
4. Implement efficient NoSQL database schemas for high-volume and low-latency applications.
5. Work with AWS services to build scalable and distributed data solutions.
6. Optimize DynamoDB performance, throughput, and cost.
7. Implement Global Secondary Indexes (GSI) and Local Secondary Indexes (LSI).
8. Handle data migration, data integration, and database optimization.
9. Ensure data consistency, availability, scalability, and security.
10. Collaborate with application developers, solution architects, and data engineers.

Required Technical Skills

• Strong experience in AWS DynamoDB and NoSQL data modeling.
• Expertise in partition key and sort key design.
• Hands-on experience with GSI and LSI.
• Understanding of single-table and multi-table design patterns.
• Strong knowledge of SQL and NoSQL database concepts.
• Experience with AWS services:
• Amazon DynamoDB
• AWS Lambda
• Amazon S3
• Amazon API Gateway
• AWS CloudWatch
• Understanding of DynamoDB Streams and TTL.
• Experience with data access patterns and query optimization.
• Knowledge of high availability, scalability, and distributed database architecture.

Good to Have

• AWS Glue and data migration experience.
• Python, Java, or Node.js.
• AWS CloudFormation / Terraform.
• AWS security, IAM, encryption, and monitoring.
• Experience designing event-driven and serverless architectures.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.