Data Engineer

IT - Systems Integration
Toronto, ON
Dec 09, 2021

Our client

.. a rapidly growing fintech company based out of downtown Toronto, is looking for someone to assist in their continued , large scale business and technology transformation initiatives. 

What’s in it for you?

Join a team in expansion mode with an award winning platform in an industry sector that is experiencing rapid change.  Features include a dynamic team and working environment that provides ongoing support with frequent company wide social events and a fully stocked kitchen  


  • Analyze business, IT and data requirements, design the best possible data model and ETL processes, and implement data solutions (OLTP & OLAP) accordingly.
  • Develop and maintain extract, transform and load (ETL) jobs within an evolving enterprise data warehouse
  • Develop Advanced T-SQL such as temporal tables, PIVOTs, recursive table expressions, dynamic SQL as well as high complexity, fast performing SELECT queries, T-SQL procedures, functions, triggers, views, jobs, scripts to support data operations and DW users.
  • Optimize SQL statements executed by end users/ETL code as required; Test and troubleshoot ETL job functionality, validate database objects and structures through use of SQL and other means
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools
  • Assist DBAs in managing indexes, statistics, query plans, alerts, database activity and overall performance activity

Skills & Qualifications

  • 4 years of experience in Database development and engineering
  • Extensive knowledge of MSSQL Server, MongoDB, SOAP/XML, REST/JSON, Databricks
  • Expert understanding of ELT and ETL and hands-on experience with SSIS, SSRS (development and some admin experience)
  • Hands on Experience with data modeling (OLTP and OLAP) using Erwin, Visio or similar tools
  • Experience in all aspects of SDLC
  • Experience with version control software (ideally bitbucket)
  • Working knowledge of AWS Cloud (RDS) and new database technologies on Azure and AWS including streaming analytics, data factory, airflow, etc
  • Python, R, Scala, Spark experience are an asset

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