Posted yesterday
ETL Lead
@ Iris Software Inc.
Toronto, Ontario
Overview
Iris Software Inc. is hiring an ETL Lead on a contract basis for its Fortune 100 direct client in Toronto, ON, on a hybrid schedule of 3 days onsite per week. The role leads the design, development and implementation of scalable ETL/ELT data integration solutions and provides technical leadership across data extraction, transformation, loading and pipeline development.
Responsibilities:
- Lead design, development and implementation of ETL/ELT solutions
- Provide technical leadership across data extraction and transformation
- Oversee loading and data pipeline development
Requirements summary:
- SQL and ETL tools (Informatica, DataStage, SSIS, Talend)
- Data warehousing and data modelling
- Unix/Linux scripting
- Cloud data platforms (AWS, Azure, GCP)
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-09
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | IT |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Iris Software Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 20 |
Iris's Fortune 100 direct client is looking ETL Lead. Please find below Job description and share me your updated resume at [email protected].
Position: ETL Lead
Location: Toronto, ON (Hybrid, 3 days onsite in a week)
Required Qualifications
- SQL, ETL tools (Informatica / DataStage / SSIS / Talend), data warehousing, data modelling, Unix/Linux scripting, and cloud data platforms (AWS / Azure / GCP
- Lead the design, development, and implementation of scalable ETL/ELT data integration solutions.
Provide technical leadership across data extraction, transformation, loading, and data pipeline development.
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