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Data Engineering Lead

2 months ago

Old Toronto, Ontario, Canada Royal Bank of Canada> Full time
Job Summary

We are seeking a highly skilled and motivated Data Engineering Tech Lead to join our dynamic team at the Royal Bank of Canada. As a key member of our data engineering team, you will play a crucial role in leading a team of talented data engineers to spearhead the delivery of data products to improve decision making, driven by data, and empowered by technology.

Job Description

Your primary focus will be on designing, implementing, and maintaining robust data infrastructure and pipelines to support our organization's data needs and advance our capabilities pertaining to data engineering, BI, Machine Learning, and AI. As the successful candidate, you will partner with key business stakeholders, understand the business drivers, and advise on data products delivery roadmap based on value prioritization and team capacity planning. You will enable the team to function at their highest efficiencies by fostering a collaborative and innovative team culture. You have excellent communication and presentation skills to work effectively at all levels of the organization.

Key Responsibilities
  1. Lead, mentor, and inspire a team of data engineers to achieve high performance levels.
  2. Take on the role to lead a development team working as part of multiple squads.
  3. Help drive our data strategy and the modernization of our data platform vision by designing and implementing scalable, maintainable, and efficient data architectures.
  4. Work closely with data architects to define data models and standards and ensure adherence to data engineering best practices.
  5. Oversee the planning, execution, and delivery of data engineering projects.
  6. Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
  7. Develop and maintain robust ETL processes to extract, transform, and load data from various sources into our data platform.
  8. Optimize data integration workflows for performance and reliability.
  9. Troubleshoot and resolve data integration issues.
  10. Implement and enforce data quality standards and best practices while collaborating with data governance teams to ensure compliance with data policies and regulations.
  11. Work closely with the data platform team to optimize data infrastructure, databases, storage, and processing systems, and oversee the requirements to improve our DevOps, DataOps, MLOps processes and tools.
  12. Apply design-thinking and agile mindset in working with various stakeholders to continuously experiment, iterate, and deliver on solutions that enable end-users to extract insights and value from data.
  13. Stay informed about emerging technologies and trends in data engineering.
Requirements

We are looking for a highly skilled and motivated individual with the following qualifications:

  • 5 years of hands-on experience in a data engineering role and 2 years of leading a team of data engineers.
  • Hands-on experience building Batch and Realtime data pipelines leveraging big data technologies such as Hadoop, Spark, NiFi, Kafka, etc.
  • Proficiency in writing and optimizing SQL queries and at least one programming language like Java, Scala, or Python.
  • Experience with cloud-based data platforms (Snowflake, AWS, Azure, GCP).
  • Experience with following DevOps and agile best practices.
What We Offer

We offer a comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable. Our leaders support your development through coaching and managing opportunities. You will have the ability to make a difference and lasting impact. You will work in a dynamic, collaborative, progressive, and high-performing team. You will have flexible work/life balance options. You will have opportunities to do challenging work. You will have opportunities to take on progressively greater accountabilities. You will have access to a variety of job opportunities across business and geographies.

Job Skills

The ideal candidate will possess the following 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

This is a full-time position with a competitive salary and benefits package. The ideal candidate will be based in Toronto, Canada.