Ai And Data - Data Engineer

Ernst & Young Global Ltd

Canada
**
5-10 years experience building scalable clickstream data pipelines
Databricks data platform expertise required
Strong knowledge of kafka or spark streaming technologies
** Ernst & Young is seeking a Data Engineer to enhance their AI & Data practice in Canada. The ideal candidate will have extensive experience in building scalable data pipelines and expertise in various programming languages and technologies related to data engineering. **

Job Summary

  • The role involves leading event stream analytics initiatives to create a foundation for data collection across all EY brands and devices.
  • Candidates will design and build highly scalable platforms to collect data from mobile apps, desktops, and other sources while collaborating with cross-functional teams.
  • EY offers an inclusive culture and global scale support to help employees become the best version of themselves while contributing to a better working world.

Matching Summary

Match Score: 75

** Ernst & Young is seeking a Data Engineer to enhance their AI & Data practice in Canada. The ideal candidate will have extensive experience in building scalable data pipelines and expertise in various programming languages and technologies related to data engineering. **

Skills & Requirements

Must-have

  • 5-10 years experience building scalable clickstream data pipelines
  • Databricks Data Platform expertise required
  • Strong knowledge of Kafka or Spark Streaming technologies
  • Proficiency in Java, Scala, Python programming languages
  • Experience with batch, real-time, and streaming analytics pipelines

Nice-to-have

  • Experience with complex ETL transformations using PySpark
  • Knowledge of business intelligence tools like Cognos or Tableau
  • Familiarity with NoSQL databases and API integrations
  • Background in data quality governance and remediation strategies
  • Experience with Hadoop ecosystem components like Hive and YARN

Key Requirements

  • CS Degree or equivalent professional experience
  • 5-10 years of experience in distributed data systems
  • Cloud platform experience (AWS, Azure, or GCP)

Work Rights

Not specified

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