Big Data Developer

Pay Range: CAD 50-55/hr Senior LevelPosition OverviewWe are seeking an experienced Senior Big Data Developer to join Royal Bank of Canadas Data Engineering team. You will design| build| and optimize scalable data pipelines and infrastructure to support our enterprise data analytics and business intelligence initiatives.Key ResponsibilitiesDesign and develop robust ETL/ELT pipelines using Spark| Hive| and Hadoop for large-scale data processingArchitect and maintain Snowflake data warehouse solutions| including schema design and optimizationDevelop and manage infrastructure-as-code solutions using AWS services (S3| Glue| EMR| RDS)Build and deploy containerized applications using Docker/Kubernetes and OpenShift (OCP4)Implement CI/CD pipelines and version control best practices using GitCollaborate with data scientists and analytics teams to ensure data quality and accessibilityMentor junior team members and contribute to technical documentationLeverage Gen AI tools to enhance code quality and development efficiencyRequired Qualifications5+ years of hands-on experience with big data technologies (Hadoop| Spark| Hive)Advanced proficiency with Snowflake platform and data modelingStrong SQL expertise and database design knowledgeProven experience with AWS cloud servicesProgramming experience in Scala| Python| or JavaKnowledge of SCM| infrastructure-as-code| and CI/CD pipeline implementationExcellent problem-solving| communication| and self-directed work ethicPreferred QualificationsExperience with orchestration tools (Apache Airflow)ETL tool expertise (Informatica| Talend)API development experienceContainerization and Kubernetes expertiseScripting proficiency (Shell| Python)Understanding of Gen AI for code generationWhat We OfferCompetitive compensation and comprehensive benefitsOpportunities for professional growth and technical leadershipCollaborative| innovative work environmentExposure to cutting-edge data technologies

Design, build, and optimize scalable data pipelines and infrastructure to support enterprise analytics. Architect Snowflake data warehouse solutions and manage infrastructure-as-code using AWS services.

Requires over 5 years of experience with big data technologies like Hadoop, Spark, and Hive. Must possess advanced proficiency in Snowflake, strong SQL skills, and experience with AWS cloud services.

• Competitive compensation • Comprehensive benefits • Opportunities for professional growth • Technical leadership opportunities

Identified from the job description. Confirm important requirements above.

• Big Data
• Hadoop
• Spark
• Hive
• Snowflake
• ETL
• ELT
• AWS
• S3
• Glue
• EMR
• RDS
• Docker
• Kubernetes
• OpenShift
• Python

Minimum experience

5+ years

Apply by

Aug 19, 2026