AI/ML Data Engineer

Posted 12 Days Ago
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Toronto, ON
3-5 Years Experience
Fintech • Insurance
The Role
As an AI/ML Data Engineer, you will create software for processing data, develop scalable ETL workflows, and work with big data and cloud technologies. Your role includes developing scripts, managing data assets, and ensuring high-quality ETL pipelines in a collaborative, Agile environment.
Summary Generated by Built In

Job Summary

Job Description

What is the opportunity?

As a Data Engineer :

  • Creating software for retrieving, parsing and processing structured and unstructured data.
  • Defining and building scalable ETL/ELT workflows for reporting and analytics.
  • Supporting project team to scale, monitor and operate data platforms for very high availability and performance.
  • Developing scripts and programs for converting various types of data into usable formats.

What will you do?

  • Develop, test, and deploy software to generate data assets (relational, graph, other) for use by downstream insight analysts and data scientists
  • Work with big data, graph, and cloud technologies such as Spark, Hadoop, Hive, Neo4j, S3, EMR, EC2, Lambda, and Kafka. Work closely with stakeholders to ensure successful data asset design and development
  • Join data across multiple data environments, such as HDFS, S3 and Data Warehouses, using complex optimized queries
  • Use Scala, Cypher, Spark, GitHub, Maven, Jenkins and Airflow to develop and deploy automated data-producing software packages
  • Create software artifacts and patterns for reuse within the enterprise
  • Ensure ETL pipelines are produced with the highest quality standards, metadata and validated for completeness and accuracy
  • Work on a cross-functional Agile team responsible for end-to-end delivery of business needs
  • Help develop new solutions for batch and real-time data and analytics use cases. Help improve data management processes - acquiring, transforming and storing massive volumes of structured and unstructured data
  • Work closely with development teams to learn about needs, current processes and to promote best practices.

What do you need to succeed?

Must-have

  • Bachelors in Computer Science or Software Engineering
  • Min 3 years of experience with Python, Spark, Hadoop, Java, Linux, and SQL
  • Experience in the big data ecosystem, with Hadoop (Pig, Hive, HDFS), Apache Spark, and NoSQL/SQL databases
  • Experience using Git or Maven while collaborating on a software development team
  • Experience using ETL big data pipelines, knowledge of CI workflows and build/test automation

Nice-to-have

  • Experience with other analytics programming languages (R)
  • Experience with other data analytics and visualization tools such as Tableau
  • Experience with Agile software development
  • Experience with DevOps concerns, including CI/CD

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
  • A world-class training program in financial services
  • Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients
  • Access to a variety of job opportunities across business and geographies.

#LI-Post

#LI-Hybrid

#LI-PK

#TECHPJ

Job Skills

Agile Methodology, Agile Methodology, Apache Hadoop, Apache Spark, Big Data, Big Data Management, Cloud Computing, Cloud Computing Architecture, Data Analytics, Data Architecture, Database Development, Database Queries, Data Governance, Data Mining, Data Pipelines, Data Warehousing (DW), Design, DevOps, End-to-End Testing, ETL Pipelines, ETL Processing, Git, Group Problem Solving, Python (Programming Language), Quality Management {+ 2 more}

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:

STRATEGY AND ADMINISTRATION

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2024-10-02

Application Deadline:

2024-10-31

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.
​​​​​​​
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.

Top Skills

Cypher
Hadoop
Java
Linux
Python
Scala
Spark
SQL
The Company
Minneapolis, MN
88,000 Employees
On-site Workplace

What We Do

Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 88,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com.‎

We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities.

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