At a Glance
- Tasks: Join product teams to design and implement cloud-based data solutions and analytics products.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative Agile environment with strong focus on knowledge sharing and career advancement.
- Why this job: Make an impact by working with cutting-edge cloud technologies and solving complex data challenges.
- Qualifications: Experience in cloud data platforms, Python, SQL, and data pipeline orchestration.
The predicted salary is between 121500 - 148500 $ per year.
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.
- Liaise 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.
- Experience working on an Agile team.
Senior Data Science Developer – Onsite in Toronto employer: Pathlion
As an Expert Program Manager for Enterprise Projects, you will thrive in a dynamic work culture that values innovation and collaboration. Our commitment to employee growth is reflected in our comprehensive training programs and mentorship opportunities, ensuring you can advance your career while making a meaningful impact on large-scale initiatives. Located in a vibrant area, we offer unique advantages such as flexible work arrangements and a supportive environment that fosters creativity and teamwork.
We think you need these skills to ace Senior Data Science Developer – Onsite in Toronto
Cloud-based Data and Analytics Products
Data Lake and Lakehouse Structures
Automated Data Pipelines
Analytics Models
Azure Synapse Analytics
Azure Data Factory
Databricks
