Lead, Data Engineer
3 weeks ago
As a Lead, Data Engineer - you will be responsible for understanding the business requirements and translate the data engineering and analytics needs to support the development, construction and testing of large-scale data processing systems based on AWS cloud to help address the disparate data consumption/integration/operation challenges of a growing organization.By supporting investment professionals, you will see first-hand how your contribution is delivering long-term value to the CPP Fund for the benefit of 20 million CPP contributors and beneficiaries. You are encouraged to bring an innovative mindset to tackle complex business requirements in the investment industry.Role-specific Accountabilities:Design solutions aligned with long-term architecture and technology strategy using Amazon Web Services (AWS) for Cloud developmentParticipate in the development life cycle from start to completion - requirements analysis, development, testing, and deploymentWork with data analysts to select and acquire non-traditional datasets and access, clean, and pre-process data as required by use casesSelect appropriate datasets and data representation methodsCollaborate with data analysts to have necessary data pipelines builtBuild, train, validate and test models using criteria relevant to business objectivesWork in a fast-paced environment collaborating with data analysts, data engineers and architectsEnsure architecture will support the requirements of CPP Investments’ businessPrepare, transform, combine and manage structured and unstructured data for use by CPP Investments’ business usersRecommend ways to improve data reliability, efficiency and qualityDefine and shape CPP Investments’ future technology and research process
QualificationsUniversity degree in Engineering or Computer Science preferredProven ability to work independently as well as to perform effectively in a team-oriented and open-concept environmentDeep 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 supportFamiliarity working with data lakes using S3/RedshiftExposure 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 DevOpsExperience building flexible solutions that can adapt quickly to changing requirements.Ability to work in an entrepreneurial environment and be a self-starterInterests in the financial industryProven attention to accuracy and detail, highly organized with the ability to prioritize and multi-taskExceptional (written and verbal) communication skills and interpersonal skillsAbility to work in a high performing culture with time-sensitive deadlinesPersonable, easily interacts with all types of personalities and at all levels with a high degree of professionalismExemplify our Guiding Principles of Integrity, Partnership, and High Performance
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#LI-AC1At CPP Investment Board, we are committed to diversity and equitable access to employment opportunities based on ability.We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.Disclaimer:CPP Investment Board does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investment Board to provide resumes to this posting or website will be considered unsolicited and will not be considered.
CPP Investment Board will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.Mandatory Vaccine PolicyAll employees in the Toronto, Sydney and Hong Kong offices will be required to be vaccinated against COVID-19. Accommodations to this policy will be made for medical or other protected grounds. Please contact us to discuss any accommodation needs.
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