Data Engineer Lead

Compunnel Inc.; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A technology solutions provider is seeking a Data Engineering Lead to spearhead data engineering initiatives in Toronto, Ontario. The ideal candidate will design scalable data solutions utilizing both relational and NoSQL databases, big data technologies, and cloud-native architectures. Excellent communication and leadership skills are essential for collaborating with cross-functional teams and mentoring engineers.

Qualifications

• Proven experience as a Lead Engineer or similar role.
• Strong experience in ETL development and cloud-native architectures.
• Excellent communication and leadership skills.
• Strong problem-solving abilities and collaborative mindset.

Responsibilities

• Lead the design and development of data pipelines and ETL processes.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Provide technical leadership and mentorship to the engineering team.

Skills

Relational databases

NoSQL databases

Big data technologies

Cloud-native architectures

ETL development

Hadoop

Spark

Kafka

Azure services

Job description

We are seeking a Data Engineer Lead with strong expertise in relational and NoSQL databases, big data technologies, and cloud-native architectures.

The ideal candidate will lead data engineering initiatives, design scalable solutions, and guide the team in implementing best practices.

Key Responsibilities

• Lead the design and development of data pipelines and ETL processes.
• Work with relational and NoSQL databases, Hadoop, Spark, and Kafka.
• Implement data modeling strategies and database migrations.
• Utilize Azure services such as Data Factory, Functions, Event Grid, and Service Bus.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Provide technical leadership and mentorship to the engineering team.

Required Qualifications

• Proven experience as a Lead Engineer or similar role.
• Strong experience in ETL development and cloud-native architectures.
• Excellent communication and leadership skills.
• Strong problem-solving abilities and collaborative mindset.