Senior Data Engineer - GFT

RBC CENTRE, 155 WELLINGTON ST W:TORONTO, Canada

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Job Summary

We are looking for a skilled Data Engineer to join our Toronto Fraud and AML IT team. work on the development and deployment of data pipeline, drive innovation, and collaborate with cross-functional teams to drive business growth and improvement. The candidate will have a strong background in data engineering, software development and leadership, with a proven track record of delivering high-quality solutions that meet business needs. The person will collaborate closely with team members under Agile Squad including product owners, architects, business analysts and quality engineers.
The candidate posts deep understanding of data management principles, modern data stack, cloud computing and ability to apply them in practical, business-focused context. Partners across IT and with assigned business line(s) to assess, research, and analyze business, technical and system needs in order to resolve business systems issues.

Job Description

  • Creating software for retrieving, parsing and processing structured and unstructured data. • Defining and building scalable ETL/ELT workflows for reporting and analytics. • Developing scripts and programs for converting various types of data into usable formats. • Contribute to technical design, development, and implementation of applications. • Working with different RBC internal teams for software feature delivery, support and bug fixes. • Supporting project team to scale, monitor and operate data platforms for very high availability and performance. • Ensure code quality, performance, scalability, responsiveness of applications. • Participate in post-implementation reviews of application, development, and processes, continually working to create a learning environment by sharing with others.

Job Skills

Apache Spark, Big Data Management, Cloud Computing, Database Development, Data Mining, Data Pipelines, Data Warehousing (DW), ETL Processing, Group Problem Solving, Object-Oriented Programming (OOP), Payments Domain, Payment Systems, Python (Programming Language), Quality Management, Requirements Analysis, Snowflake (Platform), SQL Database Queries

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:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-26

Application Deadline:

2025-07-18

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 believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Big Data Data management Data Mining Data pipelines Data Warehousing ELT Engineering ETL OOP Pipelines Python Research Snowflake Spark SQL Unstructured data

Perks/benefits: Career development Team events

Region: North America
Country: Canada

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