Data Analyst - Expert
- Toronto, ON, Canada
Pay Rate: $89.88/hr -$103.89/hr · Full-time
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Job details
- Pay
- Pay Rate: $89.88/hr -$103.89/hr
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
- Location: Toronto, ON - (Hybrid 1- Thursday and 4th Friday of the month – may change due to business requirements)
- Pay Rate: $89.88/hr -$103.89/hr
- Contract Length: 6 Months with possibility for extension
Responsibilities
- Develop and maintain data solutions using ADF, Databricks, Azure, and Python.
- Build data pipelines using ADF and Databricks with Medallion Architecture.
- Work with Unity Catalog, Delta Tables, data governance, and security permissions.
- Support Hive Metastore to Unity Catalog migration.
- Develop and manage DevOps deployment pipelines using Azure DevOps/GitHub.
- Work with Azure services including ADLS, Azure SQL, Synapse, ADF, and Databricks.
- Configure Azure Entra ID, SSO, and RBAC.
- Troubleshoot technical issues and ensure data quality and security.
- Work independently and lead a small technical team.
- Communicate effectively with technical and business teams.
- 7+ Years experience with ADF, Databricks and Azure Functions (C#)
- In depth development experience python/notebook on Databricks/Spark/panda
- Expert working knowledge of Unity Catalog and data governance setup/configuration
- Experience in loading datasets from various sources using ADF to Databricks with Medallion architecture
- Experience on converting Databricks workspace from hive metastore to unity catalog & setup associated permissions
- Creating delta table schema/tables with proper design/properties & security permissions
- DevOps & deployment pipeline using Azure DevOps/GitHub Enterprise for both ADF and databricks
- In depth experience on Azure Entra ID for SSO/RBAC setup
- In depth experience on working with/deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, Synapse dedicated SQL databases
- Familiar to work in lock down windows environment for highly regulated industry
- Ability to work independently and lead a small team.
- Proven ability to work independently with minimum supervision
- Ability to lead a small team and technical problem-solving sessions
- Excellent Communication skills
- ADF + Databricks must be proficient
- Previous Banking experience or experience in a financial institution.
- Nice to have experience on Delta Live Table.
- Financial Services Industry experience is an Asset.
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 or hello@raiserecruiting.com
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More about this job
Responsibilities
Develop and maintain data solutions and pipelines using ADF, Databricks, and Python within a Medallion Architecture. Lead a small technical team to manage data governance, security permissions, and DevOps deployment pipelines.
Requirements
Requires over 7 years of experience with ADF, Databricks, and Azure Functions, with expert knowledge of Unity Catalog and data governance. Must be proficient in Python and experienced in deploying Azure PaaS resources within highly regulated environments.
Skills
- Azure Data Factory
- Databricks
- Azure Functions
- Python
- Unity Catalog
- Medallion Architecture
- Azure DevOps
- GitHub
- Azure SQL
- Synapse
- Azure Entra ID
- RBAC
- Spark
- Pandas
- Delta Tables
- Data Governance
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
- Engineering
Keywords
- Azure Data Factory
- Databricks
- Azure Functions
- Python
- Unity Catalog
- Medallion Architecture
- Azure DevOps
- GitHub
- Azure SQL
- Synapse
- Azure Entra ID
- SSO
- RBAC
- ADLS
- Spark
- Pandas
- Delta Tables
- Hive Metastore
- Data Governance
- PaaS
- SHIR
- Banking
- Financial Services
- Delta Live Table
- Data Pipelines
- Data Quality
- Data Security
- C#
- Azure