Emburse

Software Engineer III – Data Analytics

Emburse

full-time

Posted on:

Location Type: Hybrid

Location: Toronto • Canada

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Tech Stack

AirflowAmazon RedshiftBigQueryCloudETLJavaKafkaPythonScalaSparkSQLTableau

About the role

  • Contribute to the development of an engaging and interconnected set of system solutions.
  • Enhance the experiences of customers, solve interesting challenges, and design new solutions.
  • Collaborate with Data Engineers, Analytics Engineers, Data Scientists, Product Managers, and Platform Engineers to design tests and validate business logic in analytical pipelines.
  • Own quality for analytics deliverables and data platform features within your area. Establish test strategies and define appropriate test coverage for pipelines, models and metrics.

Requirements

  • Required: Bachelor’s degree in Computer Science or related field, or equivalent years’ experience
  • Required: 4+ years of testing or SDET experience with a strong emphasis on data systems and analytics. Demonstrated experience writing tests for data pipelines, validating analytical outputs, or building test frameworks for ETL/ELT processes.
  • Required: Proficiency in SQL and at least one general-purpose programming language used for data processing (Python preferred; Scala/Java acceptable).
  • Required: Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift), and familiarity with at least one orchestration or streaming technology (Airflow, Kafka, Spark).
  • Preferred: Experience with dbt, data observability platforms (e.g., Monte Carlo), data modeling, and analytical/BI tools (Looker, Tableau, PowerBI, etc.). Experience testing ML models, A/B test validation, or statistical methods is a plus.
  • Experience within Travel industry
Benefits
  • Competitive pay
  • Flexible work
  • Inclusive, collaborative environment
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonScalaJavaETLELTdata pipelinestest frameworksdata modelingstatistical methods
Soft Skills
collaborationproblem-solvingquality assurancetest strategy developmentcommunication