Mongo Developer with Redis

*** We need: A senior (10+ years) Mongo Developer with Redis (2+ Years) experience. MongoDB Developer with expertise in NoSQL, Redis , and large-scale data management. This role offers the opportunity to work on high-impact initiatives within the Quantitative & Technology Services (QTS) division, building next-generation data solutions for one of Canada's largest financial institutions. Design, develop, and maintain data solutions using MongoDB, Redis, and SQL. Candidates must have experience manage large datasets, including performance tuning, optimization, and query development. As well as build and enhance data synchronization, migration, mapping, and modeling processes as well as proficiency in Solace and/or Kafka for data synchronization

THE MANAGER WILL CONSIDER RELOCATION FOR CANDIDATES WHO ARE ALREADY IN CANADA AND ARE CURRENTLY LEGALLY ABLE TO WORK IN CANADA NOW.

**Candidates must have Long Projects/Good Tenure, Excellent communication skills and a State issued ID (Not Bills) showing they are Local.

Required Location: Hybrid/ Hybrid Halifax, NS 3 days a week.

Rate: $65/hour on w2 (Flexible)

Interview Required: Video

Candidates must be LOCAL to the Hybrid Halifax, NS area and COMMUTE into the office THREE TIMES A WEEK . RELOCATION in CANADA CONSIDERED . *** Please send candidates even if they are over the target rate. The Client is flexible.

*** Please make sure that each submittal includes:

1. Driver's license or State ID

2. Link to the candidates LinkedIn account.

3. Below submittal Format

*** Candidate Must Have's on a resume and for submittal:

1. How many years working with: Mongo DB developer

2. How many years working with: Redis

3. How many years working with: Solace and/or Kafka

4. How many years working with:

5. How many years working with:

*** Please provide all the below Submittal Format details with each submittal. It is required for the client Management system.

Full Name:

Rate:

Location:

Availability to Interview: One Day's notice

Availability to Start:

Email Address:

Phone Number:

Visa Status:

Education - College/Year of graduation:

Link to LinkedIn?

Certifications (Please list)?

Job Description:

RBC Capital Markets' Client Life Cycle Management (CLM) team is driving a transformative program to modernize how RBC engages with its global institutional and corporate client base. This long-term contract role will directly support the digital transformation of client onboarding and lifecycle processes, ensuring streamlined, engaging, and user-friendly experiences.

We are urgently seeking a MongoDB Developer with expertise in NoSQL, Redis, and large-scale data management. This role offers the opportunity to work on high-impact initiatives within the Quantitative & Technology Services (QTS) division, building next-generation data solutions for one of Canada's largest financial institutions.

Key Responsibilities

Design, develop, and maintain data solutions using MongoDB, Redis, and SQL.

Manage large datasets, including performance tuning, optimization, and query development.

Build and enhance data synchronization, migration, mapping, and modeling processes.

Implement high-performance queries and optimize data pipelines for scalability.

Leverage messaging platforms (Solace and/or Kafka) to synchronize data across systems.

Integrate and expose data through APIs, including working with graph data.

Collaborate with cross-functional teams within CLM to deliver solutions that improve client lifecycle workflows.

Support ongoing enhancements and troubleshoot performance issues in production environments.

Required Skills & Experience

5+ years hands-on experience with MongoDB/NoSQL .

5+ years of SQL development and optimization.

1 2 years of Redis experience.

Strong background in data sync, migration, mapping, and modeling .

Proven experience in managing, tuning, and optimizing large datasets.

Proficiency in Solace and/or Kafka for data synchronization.

Ability to write and optimize high-performance queries .

Experience with APIs, graph data, and data pipeline optimization .

Exposure to ElasticSearch is a strong plus.

Preferred Attributes

Strong problem-solving skills with a proactive, detail-oriented approach.

Experience in enterprise-scale financial services environments.

Ability to communicate effectively with both technical and non-technical stakeholders.

Team player with a collaborative mindset, able to work onsite 4 days a week.