Job Summary

Supports the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. Applies experience and seasoned knowledge, skills, and practices to perform a variety of assignments.

Job Description

What will you do?

As part of Data Science Analytics Engineering team, you will encompass an end to end view from data sourcing, lineage, quality, transformation and storage.

Execute Development and Integration activities (planning, execution, testing, deployment and post implementation support) of existing and new data and visualization Technologies (e.g. Omni-Channel reporting, Gamification/Visualization).

Prepare data to be used for diagnostic/descriptive reporting and data science work.

Build container based solutions, pipelines, APIs/Microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platforms

Collaborate with Data scientists, Process Engineers and Business Stakeholders to develop data pipelines, and assist with prescriptive and predictive analytics through consolidated data

Identify and resolve data movement/transformation/processing bottlenecks

Research emerging Data and Visualization technologies trends/best practices and propose solutions for Technology and Business partners.

What do you need to succeed?

Must Have:

5+ years of hands-on experience in Data engineering solutions: Python, SQL Server, Kafka, Hadoop, Spark, Scala

5+ years experience with API: Flask, Node.JS, Django, and Microservices technologies

5+ years experience in Automation/DevOps: Jenkins, Airflow, UCD, Selenium and similar technologies

Experience with Cloud technologies: Openshift, Docker, Kubernetes and knowledge of AWS, GCP, Azure and Sagemaker, and security considerations for cloud.

Advanced SQL knowledge and experience working with relational databases

Experience in developing scalable, configurable applications using Python/Java and application frameworks

Knowledge of VMs and various MLOps platforms such as Dataiku, WandB

Nice to Have

Supervised and Unsupervised Machine learning, Natural Language Processing

Security frameworks: Vault integration, Azure Entra ID, SAML

Experience working in agile environment

What’s in it for you?  

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation

Leaders who support your development through coaching and managing opportunities

Work in a dynamic, collaborative, progressive, and high-performing team

Opportunities to do challenging work

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Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address:

BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CHIEF LEGAL & ADMIN OFFICE GRP

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-01-06

Application Deadline:

2025-01-24

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
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We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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