Senior Data Engineer

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nZ9PE
Data/ML/AI Engineering
Quebec
Contract
  • 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,
 
 
ABOUT YOUR ROLE:
 
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
WHAT WE’RE LOOKING FOR
  • 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   
WHAT YOU’LL NEED
  • 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