Sr. Azure Data Lead
- Toronto, ON, Canada
The base salary for this position ranges between $80000– $140000 per year. · Full-time
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Job details
- Pay
- The base salary for this position ranges between $80000– $140000 per year.
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Roles & Responsibilities
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3-4 days a week in a client or Cognizant office in Toronto , ON. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered
Total Compensation
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $80000– $140000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing
- Will be working as Azure Data Architect and engineer
- Should attend daily stand ups/ scrum calls/ quarterly PI
- Work with BSA and product team to understand project requirements.
- Create technical specification and source-to-target design mapping documents
- Write or understand Java/Pyspark code written on Databricks platform, perform unit testing and work with QA & Business testers for defect resolution
- Work with admins on code deployments
- Should coordinate and lead the offshore developers
- Experience in Azure Databricks is mandatory
- Expertise and knowledge of Medallion Architecture is required
- Should possess good understanding of Delta tables, Synapse and data partitioning on azure cloud
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3-4 days a week in a client or Cognizant office in Toronto , ON. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered
- List the most important qualifications in descending order
- Top 5 most important contributions in descending order
- Only go beyond 5 if absolutely necessary
- Be concise but informative
- Related duties should be combined
- List the most important nice-to-haves in descending order
- Top 5 most important contributions in descending order
- Only go beyond 5 if absolutely necessary
- Be concise but informative
Total Compensation
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $80000– $140000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing
More about this job
Responsibilities
Design and engineer Azure data solutions, create technical specifications and source-to-target mappings, and work with Databricks Java or PySpark code, including unit testing and defect resolution. Coordinate deployments and lead offshore developers while collaborating with business, product, QA, and testing teams.
Requirements
Azure Databricks experience is mandatory, along with expertise in Medallion Architecture. Candidates should understand Delta tables, Azure Synapse, and data partitioning, and be able to work with Java or PySpark code and coordinate development and testing activities.
Skills
- Azure Databricks
- Azure Data Architecture
- Data Engineering
- Medallion Architecture
- Delta Tables
- Azure Synapse
- Data Partitioning
- Java
- PySpark
- Technical Specifications
- Source-to-Target Mapping
- Unit Testing
- Defect Resolution
- Code Deployment
- Offshore Team Leadership
- Agile Scrum
Benefits
- Wellbeing Programs
- Performance-Based Bonus
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Management & Leadership
- Consulting
Keywords
- Azure
- Azure Databricks
- Azure Data Architecture
- Data Engineering
- Medallion Architecture
- Delta Tables
- Azure Synapse
- Data Partitioning
- Java
- PySpark
- Technical Specifications
- Source-to-Target Mapping
- Unit Testing
- Quality Assurance
- Business Testing
- Defect Resolution
- Code Deployment
- Offshore Development
- Team Leadership
- Business Systems Analysis
- Product Team
- Agile
- Scrum
- PI Planning