Lead Data Engineer

Job Summary

Job Description

What is the opportunity?

Platform Engineering Big Data team is looking for a Lead Data Engineer for on-premises Data Platform and will be involved as well in business sponsored programs including Compliance and Regulatory work.  The Lead Data engineer will work closely with all Data platform and analytics teams in RBC.

What will you do?

• Data platform engineering
• data transformation 
• platform automation, CI/CD
• level 3 support escalations
• vendor relationship

What do you need to succeed?

Must Have

• 5+ years of IT experience with data engineering and development expertise
• 5+ year Expert on Data Lake environments (Cloudera Data Platform preferred)
• 5+ years of Hadoop support or Development experience (HDFS, Spark, Scala, Hive, Sqoop)
• 5+ years of Unix/Linux experience
• Experience on main ETL platforms and BI tools (Teradata, SQL, DataStage, DB2/ORACLE)

Nice to Have

• Cloud engineering or development experience (AWS, Azure, Snowflake)
• Python/PySpark experience
• Devops Expertise such as Helios, Github, Jenkins,
• LLM experience

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, opportunities to take on progressively greater accountabilities and opportunities to building close relationships with clients
• Access to a variety of job opportunities across business and geographies.

#LI-Hybrid

#LI-Post

#LI-PK

Job Skills

Big Data, Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, High Availability, Processing, Quality Management, Requirements Analysis, Unstructured Data

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY 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:

2024-11-01

Application Deadline:

2024-11-15

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.
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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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