Streaming Data Platform Engineer – Real-Time Pipelines

PENN Interactive; Toronto; Hybrid; CAD 105,000 - 150,000; Full time

Job summary

A leading online gaming firm in Toronto is seeking a Data Engineer to enhance data-driven solutions that improve profitability and user experience. You will collaborate with multiple teams to develop and maintain data pipelines using technologies such as Python, SQL, and Kafka. The ideal candidate should have strong experience in data engineering with a minimum of 5 years in the field. A competitive salary will be offered as part of the compensation package.

Benefits

Competitive compensation package

Parental leave top-up

Fun, relaxed work environment

Education and conference reimbursements

Opportunities for career progression

Qualifications

• 5+ years of experience in data or software engineering.
• Strong knowledge of Python and SQL.
• Experience with streaming technologies and frameworks.

Responsibilities

• Collaborate with teams to build data pipelines.
• Design and maintain data engineering architecture.
• Write tests and documentation for tooling.
• Develop streaming pipelines for near-real time data.

Skills

Data structures

Distributed systems

Algorithms

Software design

Python

Relational databases

SQL

Streaming technologies

Docker

Kubernetes

Google Cloud Platform

Testing frameworks

Collaboration skills

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Kafka

Spark

Flink

Beam

Job description

A leading online gaming firm in Toronto is seeking a Data Engineer to enhance data-driven solutions that improve profitability and user experience. You will collaborate with multiple teams to develop and maintain data pipelines using technologies such as Python, SQL, and Kafka. The ideal candidate should have strong experience in data engineering with a minimum of 5 years in the field. A competitive salary will be offered as part of the compensation package.