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21-075 Data Engineer

  • Work TypeContract/Temp
  • Positions1 Position
  • Published At:12 days ago
  • Job no: AJQCB
  • Category: Information Technology

We are currently requesting resumes for the following position: Data Engineer 

Resume Due Date: Wednesday, October 20, 2021 (5:00PM EST)                                              

Number of Vacancies: 1

Duration: 2 years 

Location: 700 University Ave, Toronto (flexible on work location – may also be based out of Pickering or Whitby)

Job Overview

  • Design & build large-scale data pipelines and data infrastructure leveraging the wide range of data sources across the organization.
  • Document & assist in developing best practice, data delivery solutions using enterprise data ingestion, ETL and data management tools.
  • Work closely with infrastructure teams to ensure an optimal data & advanced analytics platform, for current and future state.
  • Clean, prepare and optimize datasets, ensuring lineage and quality controls are applied throughout the data integration cycle.
  • Support Business Intelligence Analysts in modelling data for visualization and reporting.
  • Stay current with advanced technologies, including AI/Machine learning, Data Management, and Cloud Data Storage techniques.
  • Create & document efficient data pipelines (ETL/ELT).
  • Write and optimize complex queries on large data sets.
  • Transform data and map them to more valuable and understandable sets for consumption.
  • Create tooling to help with day-to-day tasks.
  • Troubleshoot issues related to data accuracy and create the source of truth.
  • Help remove the friction from other members of the organization and allow them to focus on their primary objective.
  • Introduce new technologies to the environment through research and POCs.
  • Reduce toil by automation.
  • Collaborate with business analysts, data scientists, software engineers, and solution architects to develop data pipelines to feed our data marketplace.
  • Extract, analyze & interpret large, complex datasets for use in predictive modelling.
  • Utilize Azure tools to develop automated, productionized data pipelines.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Develop and support ETL code for data warehouse and data marts to support the reporting and data analytic systems.
  • Work with tools in the Microsoft Stack; Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analysis Services, Azure Databricks, and Power BI. 


  • Data deployment experience required.
  • Bachelor’s degree in Computer Science, Engineering or a related field.
  • 3 years of proven experience as a Data Engineer in a Big Data environment.
  • Knowledge in various advanced data mining techniques.
  • Experience with integrating structured and unstructured data across various platforms and sources.
  • Experience working with SAP as a data source is preferred.
  • Proficient in SQL database management systems.
  • Confident & versatile IT professional with the ability to communicate effectively across all levels of the Business and IT community.
  • Strong CS fundamental, Data Structure and Algorithm knowledge.
  • Strong understanding of Statistics.
  • Experience working and preparing data for Data Science / Machine Learning models preferred.
  • Experience with Azure Data Lake preferred.
  • Experience creating ETL jobs using Azure Pipeline and Dataflow.
  • Strong knowledge with programming methodologies (version control, testing, QA) and agile development methodologies.
  • In-depth knowledge of Azure tools required to develop automated, productionized data pipelines.
  • In depth knowledge of and experience with relational, SQL and NoSQL databases.
  • Fluency with SQL, R and Python (pandas, boto3, scikit-learn, sparkmagic).
  • Experience working with large, complex datasets.
  • Excellent communication, writing and interpersonal skills.
  • Ability to prioritize competing requests and multiple tasks in a fast-paced, deadline driven environment.
  • Experience managing a project backlog and working cross-functionally with multiple stakeholders.
  • Ability to work effectively on a self-organizing team with minimal supervision.
  • Proactive and creative problem solver with the ability to multitask and manage tight deadlines.
  • Power BI experience is a big plus.
  • Published on 08 Oct 2021, 8:29 PM