Data Engineer: Cloud Pipelines & GenAI (Hybrid)

Synpulse; Toronto; Hybrid; CAD 70,000 - 120,000; Full time

Benefits offered by this job

Hybrid work environment

20 days leave

Health & Life insurance

EAP 24/7 mental health

Retirement contributions

Perks program

Job summary

Synpulse is seeking a Data Engineer to design, build, and optimize data pipelines and infrastructure for financial services clients. You will collaborate with consultants and stakeholders to deliver scalable, secure data solutions in a multi‑project environment.

The role requires 5+ years in data engineering, strong SQL/Python skills, and hands-on cloud experience. The position offers a hybrid work model and competitive compensation in the Toronto market.

Qualifications

• 5+ years of professional data engineering experience.
• Proficiency in SQL and Python; Spark/PySpark/Scala/Java advantageous.
• Hands-on with cloud platforms and cloud-native data tools.

Responsibilities

• Develop ETL/ELT workflows for data extraction, transformation, and loading into warehouses and data lakes.
• Build and maintain data assets and models to support analytics and operations.
• Architect data mesh patterns for domain-oriented ownership.
• Collaborate with consultants and stakeholders to understand data needs.

Skills

SQL

Python

Spark/PySpark

Cloud platforms

Docker/Kubernetes

Data mesh

Relational/NoSQL

ETL/ELT

Data modeling

Git/CI-CD

Terraform/CloudFormation

Observability

Finance domain

Tools

Snowflake

Databricks

Airflow

AWS Glue

EMR

AWS Lambda

Job description

Synpulse is seeking a Data Engineer to design, build, and optimize data pipelines and infrastructure for financial services clients. You will collaborate with consultants and stakeholders to deliver scalable, secure data solutions in a multi‑project environment.

The role requires 5+ years in data engineering, strong SQL/Python skills, and hands-on cloud experience. The position offers a hybrid work model and competitive compensation in the Toronto market.