Senior Engineer, Subledger & Enterprise Reporting, Data Platforms

Company Description

Make an impact at a global and dynamic investment organization

When 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 leaders
• Stimulating work in a fast-paced, intellectually challenging environment
• Accelerated exposure and responsibility
• Global career development opportunities
• Being motivated every day by CPP Investments' important social purpose and unshakable principles
• A flexible / hybrid work environment combining in office collaboration and remote working
• A deeply rooted culture of Integrity, Partnership and High Performance

If 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

We are looking for Engineers who are passionate about working in agile delivery environments and resolving the challenges of building robust and scalable data systems aligned to enterprise data strategy.

As Senior Data Engineer you will be part of a team that leads the design and implementation of CPP Investments' data platform to support the strategic data needs related to Subledgers, ABOR (account booking of records) and support enterprise reporting needs including datamarts, reporting and business intelligence.

You will build data capabilities and support a wide range of data flows and usecases to advance the Fund's data-driven investment decisioning and deliver transformational programs.

Through close partnership with investment professionals, you will see firsthand 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 entrepreneurial, innovative mindset to tackle complex business requirements in the investment industry.

Qualifications

• University degree in Engineering or Computer Science preferred.
• Experience with AWS Data & Analytics, Cloud data platforms, data warehouse, business intelligence, data lakes and analytics products
• Experience working with database query languages and cloud data warehouses / MPP databases (Redshift / Spectrum, Snowflake, etc)
• Experience with batch job scheduling, leveraging Apache Airflow, AWS EMR, PySpark, YARN, EKS, S3, HDFS, AWS Athena, AWS Glue, Lakeformation, AWS Step Functions
• Experience building data exploratory interfaces using Notebooks (JupyterHub / Lab, Enterprise Gateway, matplotlib, Plotly / Dash, etc.

with Spark Integration using Livy, Sparkmagic

• Experience in data modeling, data architecture, data engineering, data analysis and familiarity with ETL tools, data warehousing & big data architecture and business intelligence reporting / analytics.
• Must have experience in data modeling, data visualization design and development including legacy ETL and modern ELT constructs and BI tools like Tableau, QlikView etc.
• Knowledge of cloud-native approaches to build fast, flexible, and cost-effective data applications on any data lake, open source column oriented DBMS and / or big data OLAP engines for analytical processing (like Clickhouse, Apache Kylin, Apache Pinot, etc.)
• Experience with DataOps and various continuous delivery practices to deploy, support and operate data pipelines
• Ability to work in an entrepreneurial environment and be a self-starter.
• Demonstrated ability to easily deal with both abstract and concrete concepts and be able to reconcile them for the appropriate audience and context preferred
• Quickly understand organizational dynamics and management priorities, and to be able to work effectively in a fast paced, results driven company.
• Demonstrate strong facilitation, negotiation, interpersonal, communication and collaboration skills.
• Interests in the financial industry.
• Exemplify CPP Investments' Guiding Principles of Integrity, Partnership and High Performance.

Additional Information

Visit our LinkedIn Career Page or Follow us on LinkedIn. #LI-KE1

At CPP Investments, 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.

Our Commitment to Inclusion and Diversity :

In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience.

If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.

please let us know and we will work with you to meet your needs.

Disclaimer :

CPP Investments 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 Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered.

CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.

Videos To Watch

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