Senior Data Engineer, GFT
Company
RBC
Location
Other US Location
Type
Full Time
Job Description
Job Summary
Job Description
What is the opportunity?
Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!
Global Functions Technology (GFT) is part of RBCβs Technology and Operations division. GFTβs impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.
As a Data Engineer you will be a part of the IDEA team, performing ETL activities, data modeling and building the data infrastructure that powers effective decision-making. You will build a solution to process large datasets and develop data models to facilitate informed decision-making and business process optimization in order to automate several critical processes within the organization. You will be working in a cross functional team that supports various businesses and you will have an opportunity to work with different kinds of datasets. You will collaborate with other developers and business partners to deliver medium β high complexity initiatives aligned with IDEA and GFT strategic objectives.
What will you do?
-
Work in partnership with other developers on the team to build data pipelines to support data models and ensure data quality throughout processing, automation, and modeling
-
Deep dive into advanced analyses, providing robust models tied to business objectives and outcomes, and being able to derive meaningful conclusions from it
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Manage multiple complex projects, identifying dependencies and working on parallel tracks independently
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Perform ad hoc analysis to quickly solve time sensitive funnel conversion issues.
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Collaborate with the development team to track and resolve data quality issues or discrepancies.
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Support the development of data products and tools to facilitate self-service and enable analytics to scale across the company.
-
API services development and enhancement
What do you need to succeed?
Must Have
-
5+ years of experience in data engineering, performance optimization for large data driven applications.
-
Experience with multiple integration/ETL patterns: batch, streaming, API/microservices
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Data integration/data ingestion across structured and unstructured data sources, along with various enterprise applications
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Working knowledge of modern data architecture and platforms: cloud, data mesh, Data Lakehouse, delta lake
-
Working knowledge of SQL language, proficiency with at least one programming language preferably Python, Spark, Non-relational databases, Airflow, Kafka, Redis.
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Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and creatively
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Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
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Experience with OpenShift, S3
-
Ability to work independently and in a team
Nice to Have
-
Knowledge of machine learning and data science concepts and tools.
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Knowledge of any other programming languages such as Javascript or Java
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Understanding and passion for machine learning/AI
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Experience working with at least one of Snowflake, PostgreSQL, and/or other DBMS platforms
Whatβs 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, competitive compensation, commissions, and stock where applicable
-
Leaders who support your development through coaching and managing opportunities
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Ability to make a difference and lasting impact
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Work in a dynamic, collaborative, progressive, and high-performing team
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A world-class training program in financial services
-
Opportunities to do challenging work, to take on progressively greater accountabilities, to building close relationships with clients
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Access to a variety of job opportunities across business and geographies.
#LI-Post
#LI-Hybrid
#LI-PK
#TechPJ
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:
TECHNOLOGY AND OPERATIONS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2024-09-06
Application Deadline:
2024-09-27
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.
βββββββ
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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
Date Posted
09/07/2024
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