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KUBRA

Data Engineer

KUBRA

Data Engineer at KUBRA building and maintaining data pipelines for BI solutions. Working closely with BI Analysts to ensure data is reliable and structured for client insights.

Posted 4/24/2026full-timeMississauga • 🇨🇦 CanadaMid-LevelSenior💰 CA$100 - CA$130 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSCloudETLKafkaPythonSparkSQLSSISTableau

About the role

Key responsibilities & impact
  • Design, build, and maintain scalable ETL/ELT pipelines using Python, SQL, Spark, and dbt to support BI solutions
  • Develop and manage data infrastructure across SQL Server and AWS environments
  • Support migration of on-premise systems to AWS cloud platforms
  • Maintain and optimize SSIS packages and existing data workflows
  • Design and implement data models (e.g., star schemas) optimized for reporting and analytics
  • Partner with BI Analysts using tools such as Power BI/Tableau to deliver client reporting and data-driven insights
  • Automate manual data processes using Python and SQL to improve efficiency and data quality
  • Document data pipelines, models, and infrastructure across AWS, SQL Server, and Databricks environments
  • Collaborate with Product, BI, and Engineering teams to support BI product development leveraging Snowflake, Redshift, or Databricks
  • Stay current with emerging data and BI technologies including Kafka, Spark, dbt, and cloud-native tools
  • Participate in client-facing sessions when needed (design discussions, presentations, training), showcasing solutions built on AWS and modern data platforms

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or a related field
  • 3–5 years of experience in data engineering, preferably supporting BI or analytics teams
  • Hands-on experience with AWS or other cloud platforms
  • Strong experience building data pipelines (cloud or on-premise) using Python, SQL, Spark
  • Solid understanding of data modeling for analytics and reporting (e.g., star schemas, data warehousing concepts)
  • Strong proficiency in SQL and Python
  • Experience with tools/technologies such as Spark, Kafka, Databricks, Snowflake, Amazon Redshift, and dbt
  • Familiarity with BI tools and reporting environments such as Power BI or Tableau
  • Experience with streaming data using Kafka or similar technologies is an asset

Benefits

Comp & perks
  • Earn annual performance-based bonuses recognizing your contributions
  • Enjoy generous benefit coverage with low premiums, plus a Healthcare Spending Account and Wellness Spending Account
  • Invest in your future with RRSP matching
  • Take time to recharge with paid vacation and sick days, and enjoy a paid day off for your birthday
  • Make a difference with two paid volunteer days to support causes you care about
  • Keep learning with free access to LinkedIn Learning and our education reimbursement program for continued development
  • Feel appreciated through our employee recognition programs
  • Support your mental health with a free premium Headspace membership
  • Stay refreshed with unlimited access to fully stocked beverage stations
  • Save more with exclusive Perkopolis retail discounts

ATS Keywords

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Hard Skills & Tools
PythonSQLSparkdbtETLELTdata modelingdata pipelinesdata warehousingstreaming data
Soft Skills
collaborationcommunicationpresentationtrainingproblem-solvingefficiency improvementdocumentation
Certifications
Bachelor’s degreeMaster’s degree