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Senior Data Engineer

2 months ago

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

We are seeking a highly skilled Senior Data Engineer to join our team in the Royal Bank of Canada's Group Risk Management department. As a Senior Data Engineer, you will be responsible for architecting, implementing, and managing data models and data pipelines, developing, maintaining, and upscaling the cloud data platform/services vital to the continued growth of our team.

Key Responsibilities
  • Support the PRO Business Analytics & Innovation leadership in the design, coordination, execution, and monitoring of key transformational initiatives
  • Provide architecture guidance, performance tuning, and big data engineering expertise for use cases that require capabilities in Federated Queries, Data Ingestion, and Distributed Computing
  • Build and support data engineering pipelines in Python using PySpark and Apache Airflow
  • Manage and optimize an inventory of risk data sources, responsible for compiling, aggregating, testing, and validating different data repositories/sources for the risk dashboards, ensuring completeness, accuracy, timeliness, and integrity of information
  • Develop data products by writing code that is modular, reliable, maintainable, and replicable by leveraging open-source data science libraries (Pandas, SQLAlchemy, scikitlearn, Airflow, PyArrow, NLTK, spaCy)
  • Identify, design, and implement internal process improvements: automating manual processes, orchestrating and optimizing data delivery across on-premises data platforms, redesigning data models for greater scalability, etc.
  • Build on and optimize the existing foundation of data pipeline architectures required for optimal extraction, transformation, and loading of data from a wide variety of data sources using various methods, programming languages, and software technologies, adjusting as needed to optimize effectiveness
  • Coordinate Linux VMs maintenance and maintain Docker Containers and basic shell scripting
Requirements
  • Bachelor's degree in computer science, information technology, or a related field
  • Experience working with containers and orchestration tools like Docker, Kubernetes, Apache Airflow, CI/CD, etc.
  • Must be proficient in working on Linux RHEL v8.9
  • Experience using environment technologies such as Hadoop/Spark, Virtual Servers, SQL, Oracle, DB2, NoSQL/SQL databases, Storage SAN/NAS
  • Expertise in SQL, coding, and experience with a broad array of development tools and platforms, experience with Linux/UNIX shell coding, analytics data management tools/languages such as Python (required), Spark
  • Experience developing and maintaining reporting environments across multiple platforms (e.g., ETL, reporting data layer, etc.) with exposure to programming and data environments (e.g., SQL, Hadoop, Python, etc.)
  • Strong core competency in SQL. Experience in writing complex SQL queries to extract and integrate data from multiple database sources
What We Offer
  • 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
  • Flexible work/life balance options
  • Opportunities to do challenging work