Lead Data Engineer: GCP & Big Data Pipelines

Scotiabank; Toronto; On-site; CAD 120,000 - 150,000; Full time

Job summary

A leading banking institution in Toronto is seeking a Lead Data Engineer to design and implement data solutions using Big Data and Google Cloud. The ideal candidate will have over 10 years of experience in data engineering and a strong background in developing scalable data pipelines. This role offers a competitive rewards program, inclusive work environment, and opportunities for professional growth.

Benefits

Competitive rewards program

Flexible vacation and sick days

Upskilling opportunities

Inclusive culture

Qualifications

• 10+ years of experience in data engineering, performance optimization.
• Expertise in Hadoop, GCP services, and NoSQL databases.
• Ability to work with data streaming technologies and microservices.

Responsibilities

• Lead development efforts in ingesting and transforming data.
• Design and implement data solutions in GCP.
• Build reliable, scalable data pipelines using various GCP services.

Skills

Data Engineering

Hadoop

Google Cloud Platform

Python

Java

SQL

Kafka

Spring Boot

Terraform

BigQuery

Job description

A leading banking institution in Toronto is seeking a Lead Data Engineer to design and implement data solutions using Big Data and Google Cloud. The ideal candidate will have over 10 years of experience in data engineering and a strong background in developing scalable data pipelines. This role offers a competitive rewards program, inclusive work environment, and opportunities for professional growth.