Manager, Engineering

Cvent; Fredericton; On-site; CAD 90,000 - 130,000; Full time

Job summary

Cvent is seeking a data engineer to participate in product teams and implement cloud-based data and analytics products. The role focuses on designing data lake and lakehouse structures, building automated pipelines, and supporting business users with cloud-based analytics solutions.

The candidate should have expertise in Python and SQL, experience with Azure and Databricks, and a solid understanding of data governance, CI/CD, and code reviews within GitHub.

Qualifications

• Experience with design/implementation of cloud-based data and analytics products.
• Strong background in building data pipelines and lakehouse structures.
• Familiarity with governance and data catalog concepts is a plus.

Responsibilities

• Participate in product teams to analyze systems requirements and implement cloud-based data products.
• Design and maintain cloud-based data lake and lakehouse structures and pipelines.
• Liaise with IT to implement products, review, resolve operational problems, and support business users.

Skills

Azure

Databricks

Python

SQL

CI/CD

GitHub

Data pipelines

Cloud data platforms

Tools

Databricks Unity Catalog

Azure Data Factory

CI/CD tooling

Job description

Participate in product teams to analyze systems requirements, architect, design, code and implement cloud-based data and analytics products that conform to standards.Design, create, and maintain cl...

Responsibilities

• Participate in product teams to analyze systems requirements, architect, design, code and implement cloud-based data and analytics products that conform to standards
• Design, create, and maintain cloud-based data lake and lakehouse structures, automated data pipelines, analytics models
• Liaises with cluster IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in effective use of cloud-based data and analytics products.
• Analyze complex technical issues, identify alternatives and recommend solutions.
• Support the migration of legacy data pipelines from Azure Synapse Analytics and Azure Data Factory (including stored procedures, views used by BI teams, and Parquet files in Azure Data Lake Storage (ADLS)) to modernized Databricks-based solutions leveraging Delta Lake and native orchestration capabilities
• Support the development of standards and a reusable framework that streamlines pipeline creation
• Participate in code reviews and prepare/conduct knowledge transfer to maintain code quality, promote team knowledge sharing, and enforce development standards across collaborative data projects.

General Skills

• Experience in multiple cloud-based data and analytics platforms and coding/programming/scripting tools to create, maintain, support and operate cloud-based data and analytics products, with a preference for Microsoft Azure
• Experience with designing, creating and maintaining cloud-based data lake and lakehouse structures, automated data pipelines, analytics models in real world implementations
• Strong background in building and orchestrating data pipelines using services like Azure Data Factory and Databricks
• Demonstrated ability to organize and manage data in a lakehouse following medallion architecture;
• Background with Databricks Unity Catalog for governance is a plus
• Proficient in using Python and SQL for data engineering and analytics development
• Familiar with CI/CD practices and tools for automating deployment of data solutions and managing code lifecycle
• Comfortable conducting and participating in peer code reviews in GitHub to ensure quality, consistency, and best practices
• Experience in assessing client information technology needs and objectives
• Experience in problem-solving to resolve complex, multi-component failures
• Experience in preparing knowledge transfer documentation and conducting knowledge transfer