Senior Data Engineer

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Data/ML/AI Engineering
  • pyspark
  • databricks
  • snowflake
Une excellente opportunité pour un ingénieur de données chez un partenaire de choix, 

Une belle ambiance de travail et des projets de grandes envergures,
Reporting to the Senior Director, Data Science & AI, the Senior Data Engineer will be responsible for building and deploying data pipelines to feed advanced analytics use cases. The applicant will also provide insightful advice to the Technology & Digital Strategy (TDS) management team, deal teams as well as potentially thought partner with portfolio companies when necessary.

As a Senior Data Engineer, you’ll:
  • Create, own, optimize, and maintain data pre-processing and features engineering pipelines to feed advanced analytics use cases within the Digital Innovation team in alignment with the data architecture guiding principles
  • Build required infrastructure to streamline data extraction and transformation to support data science use cases related to investment in public and private market
  • Work with advanced analytics practitioners, including citizen practitioners, data scientists, machine learning engineers and ML Ops to increase efficiency of project delivery
  • Participate in building analytics tools to deliver actionable insights and packaged product for coworkers and stakeholders
  • Adopt and scale an API-first approach for data science use cases
  • Ability to navigate a fast-paced environment with a high level of autonomy
  • Effective communications skills, both written and spoken
  • Demonstrated initiative and curiosity to look beyond surface facts and conduct comprehensive, fact-based, value-added research
  • Attention to detail and rigorous approach to research and development work
  • Eagerness to learn, ideate and innovate
  • Drive to pursue excellence and challenge the status quo to seek out alternative perspectives
  • Open-mindedness and active listening skills
  • Respect for differences of opinion and an inclusive mindset   
  • Minimum of 5 years’ experience and bachelor’s or master’s degree in computer science or software engineering
  • Experience working with relational and no-relational database, specifically using Snowflake and other database technologies (SQL, NoSQL, Hive, etc)
  • Knowledge of database architecture and optimization for warehouses and data lake
  • Strong Experience building big data pipelines for ETL focusing on time series data using: PySpark, etc
  • Strong Experience using Databricks on Azure
  • Knowledge with machine learning pipelines and workflow management tools is a plus (ML-Flow, Airflow, etc)
  • Knowledge of Azure Functionalities (Data Factory, Azure DevOps, etc)
  • Strong Experience in development of pipelines using object-oriented programming in Python
English required, French an asset  
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Imad Rais
Senior IT Recrutement Specialist