3 months ago
Toronto, CanadaMid Level
Responsibilities
- Design, build, and manage robust data pipelines and data architectures.
- Implement data solutions using Azure Fabric, Databricks, and Snowflake.
- Optimize data workflows for reliability, scalability, and performance.
- Collaborate with stakeholders to understand data needs and deliver tailored solutions.
- Ensure data security and compliance with industry standards and best practices.
- Perform data modeling, data extraction, transformation, and loading using ETL/ELT processes.
- Build and maintain production-grade data models and transformation layers.
- Design batch and real-time ingestion frameworks with real-time monitoring.
- Identify solutions to improve data quality and analytics capabilities.
- Communicate technical concepts clearly to non-technical stakeholders.
Requirements
- 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 in a similar role.
- Proficiency with 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 Spark, Hadoop, Kafka, and other big data technologies.
- Strong understanding of data modeling concepts, including medallion architecture, data vault, grain, fact tables, dimensions, and schema design.
- Hands-on experience with dbt or similar ELT tools.
- Experience designing batch and real-time ingestion frameworks and production-grade data models.
- Strong analytical, troubleshooting, problem-solving, and communication skills.
- Azure Data Engineering, Databricks, or Snowflake certifications are desirable.
- Familiarity with DevOps practices and CI/CD pipelines is desirable.
Benefits
- Comprehensive health and wellness benefits package.
- Retirement planning.
- Parental leave program.
- Flexible working hours.
- Work-from-home flexibility.
- Service recognition programs.
- Socials, outings, and retreats.
- Learning and development culture.
- Hybrid work arrangement indicated by the posting.
Tech Stack
Categories
Data Engineering
About Konrad
Konrad is a privately held digital consultancy that designs and builds custom web and mobile applications, AI-enabled products, and customer experiences for global enterprises and consumer brands. It earns revenue through strategy, design, and software engineering services spanning UX, e‑commerce, and digital transformation. Headquartered in New York, it operates internationally with teams in Toronto, London, San José, and Gurgaon.