Data Science jobs in Mississauga, ON

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Peak Power Inc.
Toronto, ON
  • Provide daily support to data scientist team, including data cleaning, data transformation, and maintain data quality control.
  • Experience building and optimizing data pipelines, architectures, and data sets.
  • Facility with PowerBI, including creating dashboards and data sources.
Toronto, ON
  • Good understanding of ingesting data from application in data centers;
  • Optimizing events and petabytes of data;
  • Structuring data sets to build AI products;
Toronto, ON
  • Proven Data Engineer: You have experience building data lakes, processing and querying of large quantities of structured and unstructured data.
  • Hands-on experience with the Azure Data Platform (Data Factory, Data Lake, Data Warehouse, Blob Storage, SQL DB, Analysis Services).
  • O Power BI including DAX.
  • Knowledge of data modelling and dimensional data modelling concepts and techniques.
  • Assist with analysis and profiling of various source data and understand the…
  • Document & assist development teams with best practice, data delivery solutions using enterprise data ingestion, ETL and data management tools.
StackPros Inc.
Toronto, ON
  • StackPros will rely on the Data Engineer to support the Data Systems team, in both data engineering and data science-related workflows.
Toronto, ON
  • Identify and unlock insights from our data.
  • 2+ years of experience with data engineering.
  • Experience with implementing and supporting data transformation.
  • We're looking for an expert in Business Intelligence Data deploying and maintaining scalable data pipelines on our data platform.
  • Extend our data platform by researching and applying new data technologies and modern databases to solve business problems.
  • Do you have what it takes?
Toronto, ON
  • Perform Data wrangling to transform and map data from raw data forms into formats more appropriate and valuable for analytics.
  • A person who’s worked for an ISP.
Toronto, ON
  • Have proven experience as a BI Developer, Data Engineer, or Data Scientist.
  • Have a background in data warehouse design (e.g. dimensional modeling) and data…