Data Science Developer 9231-2010

Foilcon; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading IT consulting firm is seeking a Data Science Developer for a hybrid contract role in Toronto. The successful candidate will enhance and support data pipelines and analytics models, utilizing Azure technologies and Python. This position offers an opportunity to work on impactful data solutions while collaborating with a dynamic team.

Qualifications

• Experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, Azure Synapse.
• Experience automating pipelines using SQL, Python, Databricks, and Azure Data Factory.
• Experience with Power BI reports and dashboards.

Responsibilities

• Creating and maintaining data storage structures for analytics solutions.
• Automating data pipelines for ingestion and transformation of data.
• Supporting analytics environments and implementing new technologies.

Skills

Data Storage and Preparation

Data Pipelines

Data Analytics

Knowledge Transfer

Azure Databricks

Python

Azure Data Factory

Power BI

Job description

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Join to apply for the Data Science Developer 9231-2010 role at Foilcon

HM Note: This hybrid contract role requires three (3) days in the office. Candidates' resumes must include their first and last names.

Description

Data Science Developer - Deliverables

The candidates will perform Data Science Developer work by creating, enhancing, maintaining, supporting, and sustaining existing pipelines, analytics models, and data products.

Specific Deliverables

• Creating, enhancing, maintaining, and supporting data storage structures suitable for analytics solutions.
• Automating data pipelines for ingestion, preparation, transformation, and modeling of data.
• Creating, enhancing, maintaining, and supporting dashboards and reports.
• Supporting analytics environments and implementing new technologies to improve performance, architecture, and reduce cloud costs.
• Conducting knowledge transfer sessions and documenting technical details for continuous improvement of analytics solutions.

Skills and Experience

Evaluation Criteria

• Data Storage and Preparation (35%): Experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, Azure Synapse in real-world implementations.
• Data Pipelines (35%): Experience automating pipelines using SQL, Python, Databricks, and Azure Data Factory.
• Data Analytics (15%): Experience with Power BI reports and dashboards.
• Knowledge Transfer (15%): Experience conducting training sessions and documenting analytics solutions for technical staff.

Must Haves

• Azure Databricks
• Python
• Azure Data Factory
• Power BI

Additional Details

• Seniority level: Not Applicable
• Employment type: Contract
• Job function: Information Technology
• Industries: IT Services and IT Consulting