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Senior ETL Developer; design and implement scalable data architectures using Goog

Job in Toronto, Ontario, C6A, Canada
Listing for: S I Systems
Full Time, Part Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Job Description & How to Apply Below
Position: Senior ETL Developer (10+ years) to design and implement scalable data architectures using Goog[...]
Senior ETL Developer (10+ years) to design and implement scalable data architectures using Google Cloud Platform - 40883
Our financial services client is seeking aSenior ETL Developer (10+ years) to design and implement scalable data architectures using Google Cloud Platform .Join a dedicated AML Technology team driving a strategic AI initiative for Tangerine within one of Canada’s leading banks. This role focuses on sourcing, transforming, and integrating data across GCP and Oracle-based environments supporting high-profile AML processes and FINTRAC reporting.

The position offers strong visibility and collaboration with architects, stakeholders, and cross‑functional technology teams on a high‑impact data modernization project.

Location Address:

Toronto - Hybrid – 1 day/week (Thursdays)
Subject to change:3–4 days onsite may be required based on business needs

Contract Duration:

ASAP to end of Jan 2027 – approx. 6.5 months

Number of Positions:1

Schedule

Hours:

9am-5pm Monday-Friday; standard 37.5 hrs/week

Must Haves
10+ years indata engineering ,ETL development , and analytics delivery

Hands‑on proficiency with Google Cloud Platform Advanced Python  scripting experience

Practical experience with

Big Query Exposure  to Cloud Composer/Apache Airflow Post‑secondary education in a technical or relevant field

Nice to Have

Experience with Microsoft Azure Proficiency in Java, Scala, SQL Experience with Dataflow, Dataproc, DBT, Databricks Experience in database development

Responsibilities

Design and implement scalable data architectures and analytical models

Develop, deploy, and maintain large‑scale ETL/ELT pipelines for batch and streaming data Build and manage orchestration workflows

Optimize data storage, query performance, and processing efficiency

Enable reporting and dashboard solutions using modern visualization platforms

Support Dev Ops and CI/CD practices for data platforms

Ensure data quality, governance, and metadata management standards are met

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.#J-18808-Ljbffr
Position Requirements
10+ Years work experience
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