Remote Cloud Data Engineer — Databricks & Snowflake Pipelines

konradgroup; Toronto; On-site; CAD 125,000 - 173,000; Full time

Benefits offered by this job

Health & Wellness benefits

Retirement planning

Parental leave program

Flexible working hours

Work from home flexibility

Service recognition programs

Socials & retreats

Culture of learning & development

Job summary

Konrad Group in Toronto, Ontario is seeking a Data Engineer to design, build, and maintain scalable data platforms and pipelines. You’ll leverage Azure Fabric, Databricks, and Snowflake to deliver reliable, secure data solutions and collaborate with analysts, scientists, and engineers.

A Bachelor's degree and at least 3 years of experience are expected, with strong SQL/Python skills, data modelling, and ELT tooling.

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 building production-grade data models with optimized performance supporting operational decision-making.
• 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

Analytical thinking

Communication

Data modeling

ELT/ETL

Education

Bachelor's degree or higher in CS/IT/Data Engineering

Tools

Azure Fabric

Databricks

Snowflake

Spark

Hadoop

Kafka

dbt

Job description

Konrad Group in Toronto, Ontario is seeking a Data Engineer to design, build, and maintain scalable data platforms and pipelines. You’ll leverage Azure Fabric, Databricks, and Snowflake to deliver reliable, secure data solutions and collaborate with analysts, scientists, and engineers.

A Bachelor's degree and at least 3 years of experience are expected, with strong SQL/Python skills, data modelling, and ELT tooling.