Lead, Data Engineer

3 weeks ago

Mumbai, India CPP Investments Full time
Company Description

Make an impact at a global and dynamic investment organizationWhen you invest your career in CPP Investments, you join one of the most respected and fastest growing institutional investors in the world. With current assets under management valued in excess of $500 billion, CPP Investments is a professional investment management organization that globally invests the funds of the Canada Pension Plan (CPP) to help ensure long-term sustainability. The CPP Fund is projected to reach $3 trillion by 2050. CPP Investments invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and is headquartered in Toronto with offices in Hong Kong, London, Luxembourg, Mumbai, New York City, San Francisco, São Paulo and Sydney.CPP Investments attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:Diverse and inspiring colleagues and approachable leadersStimulating work in a fast-paced, intellectually challenging environmentAccelerated exposure and responsibilityGlobal career development opportunitiesBeing motivated every day by CPP Investments’ important social purpose and unshakable principlesA deeply rooted culture of Integrity, Partnership and High PerformanceIf you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here’s an opportunity for you to invest your career at CPP Investments.

Job Description

The Data Engineering team is looking for people who are passionate about data and are looking to bring their expertise in big data and cloud by working in agile delivery environments to resolve engineering challenges of building robust and scalable data systems aligned to our enterprise data strategy.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

Qualifications

University 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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