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About the role

  • Data Engineer working on Agile teams to design and implement data pipelines for Capgemini. Collaborating on data ingestion, ensuring data quality, and integrating various data sources.

Responsibilities

  • Work within an Agile cross‑functional team to design, develop, and maintain data ingestion flows and evolve the platform to orchestrate them
  • Design and implement data pipelines, framework, and ETL processes
  • Ensure data quality, security, and performance
  • Develop and optimize SQL queries, stored procedures, and views
  • Integrate Snowflake with other data sources and BI tools
  • Monitor and troubleshoot data jobs and platform issues
  • Develop and maintain comprehensive documentation for data pipelines, transformations, and data models

Requirements

  • 5 years of experience with Big Data technologies used for ETL: Hadoop, Spark, Hive
  • Strong SQL skills and knowledge of data modeling
  • Programming experience with API development
  • Familiarity with any cloud platform, preferably AWS
  • Knowledge of GenAI to generate code and improve developer proficiency
  • Self-driven with excellent problem-solving and communication skills
  • Knowledge of SCM, Infrastructure-as-Code, and CI/CD pipelines

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Job title

Job type

Full Time

Experience level

Mid levelSenior

Salary

$86,000 - $95,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSCloudETLHadoopSparkSQL

Location requirements

OnsiteTorontoCanada

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