Associate engineer Offres d'emploi - Toronto, ON

Job Description

What is the opportunity? We are seeking for a highly skilled Data Engineer to join our team and work on building Data Monetization products. Reporting to the Associate Director currently supporting the engineering stream, the ideal candidate will be an expert-level organizer capable of resolving ingestion challenges, including handling structured and unstructured data in various formats. You should be forward-thinking, with the ability to help scale up our ingestion products and be a fast learner. Accountability and reliability are crucial, as you will support though production deployment and ensure the smooth operation of our data pipelines. What will you do?

Highly skilled and knowledgeable lead who will work to transform our data engineering technology.

Build state-of-the-art, highly scalable data ingestion products.

Developing, documenting, testing and deploying data pipelines

Supporting through production deployments, including bi-weekly releases.

Ensuring the integrity and performance of data ingestion pipelines.

What do you need to succeed?

Must-have

Python : 7-10+ years of experience and proficiency, including strong knowledge of object-oriented programming and core Python concepts.

Experience with Data Engineering Technologies

Proficiency in building data ingestion end-to-end products, data modeling, and working with APIs for Ingestion.

Experience building Data Quality Frameworks

Knowledge on Databases; Expertise in Snowflake Database, Data lakes etc.

Cloud Technologies : Azure

Building Pipelines on Azure Databricks : Proficiency in using Azure Gen2 Storage Accounts.

Databricks DLT (Delta Live Tables) : Experience in building pipelines and executing Jobs.

Knowledge of Docker / Kubernetes and Strong Computer Science Knowledge; Proficiency in writing clean, maintainable, and efficient Python code; Self-motivated and pro-active with proven ability to work accurately and under pressure to meet deadlines; Strong communication skills - Ability to summarize and explain clearly large and complex information to a wide range of audiences (senior managers, audit, controller, finance, model developers, regulators and controls)

Nice-to-have

Knowledge on Azure services

Familiarity with Snowflake.

Experience working with Jira, Confluence, MS Office

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.

Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement

A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition

Leaders who support your development

A dynamic, collaborative, and high-performing team

Opportunities to do challenging work and grow your career

Work-life integration

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 :

RBC CENTRE, 155 WELLINGTON ST W : TORONTO

City : TORONTO

Country : Canada

Work hours / week : 37.5

Employment Type : Full time

Platform : Capital Markets

Job Type : Regular

Pay Type : Salaried

Posted Date : 2024-05-30

Application Deadline :

2024-06-28

I nclusion 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.

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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