Data Science Developer - Senior

Data Science Developer - Senior

Pay Rate: Flexible

Location: Toronto, Ontario

Contract Length: 7 Months, Onsite

We at Raise are hiring right now for one of our Clients. If you’re interested, apply below for your chance to join a great place to work.

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
• Experience working on an Agile team

Desirable Skills:

• Written and oral communication skills to participate in team meetings, write/edit systems documentation, prepare and present written reports on findings/alternate solutions, develop guidelines / best practices
• Interpersonal skills to explain and discuss advantages and disadvantages of various approaches

Technology Stack :

• Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, Azure Synapse, Azure Databricks
• Python, SQL
• PowerBI
• GitHub

Must Haves:

• 5+ years experience Azure environment
• 5+ years experience Data engineering with ADF and Databricks
• 5+ years experience Programming experience with Python, SQL

Looking for meaningful work? We can help!

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 orhello@raiserecruiting.com