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Elasticsearch Engineer

Capgemini

toronto, on, Canada Full-time May 31, 2026

Found Description

Job Description

3 to 4 years hands‑on experience in Database and Elasticsearch

Experience working with database technology like DB2 and MSQL

Experience in indexing strategies and query optimization

Willing to learn new technology

Knowledge of Elasticsearch indexing and query optimization

Knowledge of Snowflake and understanding of Snowflake architecture

Able to understand database integration with Java/Python technology

Nice to Have

Background working in Fraud / Financial Analytics

The base compensation range for this role in the posted location is: 63,455 to 83,335

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this p...

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