Data Engineer: Scalable Cloud Pipelines (Azure/Databricks)

Konrad; Toronto; Hybrid; CAD 90,000 - 125,000; Full time

Benefits offered by this job

Retirement Planning

Parental Leave Program

Flexible Working Hours

Work from Home Flexibility

Service Recognition Programs

Socials, Outings & Retreats

Culture of Learning & Development

Job summary

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions.

Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. As a Data Engineer you’ll design, build, and maintain scalable data platforms and pipelines.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 3 years of professional experience as a Data Engineer or similar role.
• Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
• Hands-on experience with data pipeline tools, cloud services, and storage solutions.
• Strong programming skills in SQL, Python, or related languages.
• Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong understanding of data modeling concepts including medallion architecture, data vault, grain, fact tables, dimensions, and schema design.
• Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools.
• Experience designing batch and real-time ingestion frameworks with real-time monitoring.
• Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Responsibilities

• Design, build, and manage robust data pipelines and data architectures.
• Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
• Optimize data workflows, ensuring reliability, scalability, and performance.
• Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
• Ensure data security and compliance with industry standards and best practices.
• Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
• Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Skills

SQL

Python

Education

Bachelor's degree or higher in Computer Science or related field

Tools

Azure Fabric

Databricks

Snowflake

Job description

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions.

Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. As a Data Engineer you’ll design, build, and maintain scalable data platforms and pipelines.