Cloud Data Architect
4 weeks ago
CPP Investments is a global investment organization that manages the assets of the Canada Pension Plan. As a Lead, Data Engineer, you will play a key role in designing and developing large-scale data processing systems using Amazon Web Services (AWS) cloud technology.
The Data Engineering team is responsible for building robust and scalable data systems aligned with our enterprise data strategy. You will work closely with data analysts to select and acquire non-traditional datasets and access, clean, and pre-process data as required by use cases. Your expertise in big data and cloud technology will be essential in ensuring the success of our data engineering initiatives.
Key Responsibilities:
- Design solutions aligned with long-term architecture and technology strategy using Amazon Web Services (AWS) for Cloud development
- Participate in the development life cycle from start to completion - requirements analysis, development, testing, and deployment
- Work with data analysts to select and acquire non-traditional datasets and access, clean, and pre-process data as required by use cases
- Select appropriate datasets and data representation methods
- Collaborate with data analysts to have necessary data pipelines built
- Build, train, validate and test models using criteria relevant to business objectives
- Work in a fast-paced environment collaborating with data analysts, data engineers and architects
- Ensure architecture will support the requirements of CPP Investments' business
- Prepare, transform, combine and manage structured and unstructured data for use by CPP Investments' business users
- Recommend ways to improve data reliability, efficiency and quality
- Define and shape CPP Investments' future technology and research process
Qualifications:
- University degree in Engineering or Computer Science preferred
- Proven ability to work independently as well as to perform effectively in a team-oriented and open-concept environment
- Deep experience working with big data including cleaning/transforming/cataloguing/mapping/ etc.
- Experienced in cloud technology best practices to enable the distribution and analysis of big data on the cloud (formatting/partitioning/etc.)
- Experience of ETL pipelines, managing multiple datasets and providing necessary support
- Familiarity working with data lakes using S3/Redshift
- Exposure to big data workflows and analytics tools (Spark/EMR/Databricks/Cassandra)
- Deep proficiency in Python with experience using Spark, Pandas or PySpark
- An understanding of CI/CD pipelines and experience with DevOps
- Experience building flexible solutions that can adapt quickly to changing requirements
- Ability to work in an entrepreneurial environment and be a self-starter
- Interests in the financial industry
- Proven attention to accuracy and detail, highly organized with the ability to prioritize and multi-task
- Exceptional (written and verbal) communication skills and interpersonal skills
- Ability to work in a high performing culture with time-sensitive deadlines
- Personable, easily interacts with all types of personalities and at all levels with a high degree of professionalism
- Exemplify our Guiding Principles of Integrity, Partnership, and High Performance
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