What is the opportunity?
As a Data Engineer you will be a part of the Data Analytics 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 protect the organization from various security threats. You will also own projects to elevate KRI reporting and be the expert on the data sets and data tools that are available.

You will collaborate with other developers and business partners to deliver medium – high complexity initiatives aligned with IT Risk strategic objectives using RBC’s Agile Ways of Working or Iterative Waterfall Frameworks and Business Agility concepts.

What will you do?

• Work in partnership with Data Analytics 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

• Develop and maintain key risk and performance indicators and dashboards to monitor product performance, identify trends, and generate actionable insights for stakeholders.

• Manage multiple complex projects, identifying dependencies and working on parallel tracks independently

• Perform ad hoc analysis to quickly solve time sensitive funnel conversion issues.

• Collaborate with the development team to track and resolve data quality issues or discrepancies.

• Support the development of data products and tools to facilitate self-service and enable analytics to scale across the company.

• Provide technical expertise in extracting, integrating, and analyzing critical data.

• Design and optimize back-end systems (MS SQL Server, Snowflake) for the ETL processes

• API services development and enhancement

What do you need to succeed?

Must-have

• Experience using ETL framework (ex: Airflow, Dataiku, Flume, Oozie etc.) to build and deploy production-quality ETL pipelines

• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions

• Working knowledge of relational databases and expertise in query authoring (SQL) on large datasets

• 3+ years of experience with Python or similar programming languages.

• Experience working with reporting and visualization tools (Tableau preferred, experience with big data technologies such as Hadoop, Spark, Hive, etc and experience working with Git and Jira (or other source control and task management tools)

• Strong interpersonal skills, both written and verbal, with the ability and confidence to succinctly convey complex information to senior management. Strong analytical and problem-solving skills, with a keen attention to detail.

• Expert in Python programming to write production-ready codes. Strong data profiling, cleaning, mining, and technical documentation skills

• Strong knowledge of Java, JavaScript, MS SQL, Snowflake, and data model design and understanding and passion for machine learning/AI

• Experience with agile methodology and working in agile team. Critical thinker, creative problem solver. Data-driven approach

• Strong written, verbal communication and presentation skills. Demonstrated drive for operational solutions and improvement

• Proven professional with organized and detail-oriented work practices. Strong and supportive team player, experience on working on fast passed environment

Nice-to-have

• Understanding and passion for machine learning/AI

• Experience working with at least one of Snowflake, Redshift, PostgreSQL, and/or other DBMS platforms

• Experience with agile methodology and working in agile team

• Great analytical skills and familiarity with financial services industry, IT Risk

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, competitive compensation, commissions, and stock where applicable.

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact.

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

• Flexible work/life balance options

• Opportunities to do challenging work, opportunities to take on progressively greater accountabilities and opportunities to building close relationships with clients.

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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

330 FRONT ST W:TORONTOTORONTOCanada37.5Full timeTECHNOLOGY AND OPERATIONSRegularSalaried2024-07-252024-09-30