Data Engineer: IDMC, ETL & Cloud Pipelines

capco

Toronto

On-site

CAD 90,000 - 130,000

Full time

5 days ago
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Benefits offered by this job

Health & life insurance
RRSP matching
Virtual health care
EFAP
Parental leave top-up
New parent gift
Wellness reimbursement
Career coaching

Job summary

Capco is seeking an experienced Data Engineer to join our Technology & Engineering practice in Toronto. You will design, develop and optimize data integration solutions for enterprise-scale financial services environments, leveraging Informatica IDMC and robust ETL/ELT workflows.

You will collaborate with data architects and business stakeholders to translate complex requirements into scalable designs, implement testing and monitoring, and ensure data quality across cloud and on-premise

Qualifications

  • 5-6 years of experience in Data Engineering / ETL development / data integration.
  • Hands-on experience with Informatica IDMC and data pipeline development.

Responsibilities

  • Design, develop and maintain scalable ETL/ELT data pipelines using Informatica IDMC.
  • Build and optimize data transformation workflows and ensure data quality across platforms.
  • Develop pipelines to load data from multiple sources into cloud and enterprise environments.
  • Collaborate with data architects, analysts and tech teams to translate business requirements into designs.
  • Troubleshoot data integration issues and monitor pipeline performance.

Skills

Data engineering
ETL development
Data integration
SQL
Relational databases
Python scripting
DevOps CI/CD
Cloud platforms

Tools

Informatica IDMC

Job description

Capco is seeking an experienced Data Engineer to join our Technology & Engineering practice in Toronto. You will design, develop and optimize data integration solutions for enterprise-scale financial services environments, leveraging Informatica IDMC and robust ETL/ELT workflows.

You will collaborate with data architects and business stakeholders to translate complex requirements into scalable designs, implement testing and monitoring, and ensure data quality across cloud and on-premise

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