BI/Data Engineer
TAL Group
Toronto, ON
Hiring a full-time BI/Data Engineer in Toronto, ON! This role will build and maintain batch and real-time data pipelines to power our client's analytical reports and dashboards. It requires at least 3+ years work experience in data engineering, software engineering and/or data analysis.

Perks You'll Love
  • Join a cutting edge, go big or go home team with transparent culture
  • Annual performance and team party
  • Compensation plan includes Apple Macbook Pro/Air & Smartphone
What You'll Be Doing
  • Build and maintain batch and real-time data pipelines to power our client's analytical reports and dashboards
  • Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations
  • Set up A/B tests and ensure metrics are reported accurately
  • Identifying data needs and driving data quality improvement projects
  • Evangelizing data driven decision making within the team and to business & product owners
  • Understanding the broad range of Paytm data resources, and knowing the right ones to use for the problems at hand
Technical Requirements
  • Proficient in at least one programming language like Scala, Java or Python
  • Experienced in Apache Spark, or other big data processing frameworks
  • Proficient in SQL
  • Proficient in software development, and source code management
What You're Bringing
  • BS degree or higher in computer science engineering, statistics, mathematics, econometrics, or a similar quantitative field
  • 3+ years work experience in data engineering, software engineering and/or data analysis
  • Experience building real-time and batch data pipelines
  • Strong analytical capabilities to delve into and understand trends and patterns in the data
  • Prior success in working with extremely large datasets using big data technologies
  • Demonstrated ability to directly partner with business owners to understand product requirements
  • Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills
  • Detail-oriented, with an aptitude for solving unstructured problems
  • Familiarity with AWS services
  • Experience with data streaming technologies like Kafka, Spark Streaming
We Are An Equal Opportunity Employer
All qualified applicants will receive equal consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Canadian Work Authorization
All applicants MUST be authorized to work in Canada. Any applicants not meeting this criteria will not be notified and will not be considered eligible for the position.