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

Solid 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

Experience working on an Agile team

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📌 Data Science Developer - Senior (New Brunswick)
🏢 P@thlion Staffing Careers
📍 New Brunswick