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Cognizant

Sr. Azure BSA ( Hybrid )

Toronto, ON, Canada

The base salary for this position ranges between $80000– $125000 per year. · Full-time

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Job details

Pay: The base salary for this position ranges between $80000– $125000 per year.
Job type: Full-time
Posting language: English
Posted: Aug 25, 2026

Original job description

Job Details

Azure (ingestion/extraction),python, ETL, Unix, SQL,Shell scripting, pyspark, synapse, ADB, ADLS experience
BA hands-on experience in data analysis/data warehouse/data integration through agile environment.
Able to resolve issues in a timely manner, provide options and recommendations.
Building data quality checks and writing complex SQL queries.
Experience working with Jira, Confluence.
Experience with Data Lake/ Azure Data Factory, python, SQL Server, Tableau/ Power BI.
Good understanding of Data Security Classifications, metadata management principles
Strong analytical, organizational, and technical skills to analyse, model and interpret data.
Able to prioritize requirements, change requests for Business and work with Project team/Scrum Master in determining how best to address them.
Current state analysis through reverse engineering, identify source & downstream systems.
Experience with requirements development involving requirements elicitation, analysis, documenting user stories.
Capturing Data Lineage and Data Mapping between Source and Target systems.

Work model

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 X days a week in a client or Cognizant office in city, province. 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

These will help you stand out

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

We're excited to meet people who share our mission and can m

an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

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– $125000 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

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More about this job

Responsibilities

Perform hands-on data analysis and integration within an agile environment, focusing on data quality checks and complex SQL queries. Responsible for requirements elicitation, documenting user stories, and capturing data lineage and mapping between source and target systems.

Requirements

Requires strong technical expertise in Azure data tools, Python, and SQL for data ingestion and extraction. Candidates must have experience in business analysis, reverse engineering for current state analysis, and proficiency with Jira and Confluence.

Skills

Azure
Python
ETL
Unix
SQL
Shell Scripting
PySpark
Azure Synapse
Azure Databricks
Azure Data Lake Storage
Data Analysis
Data Warehousing
Agile
Jira
Confluence
Power BI

Benefits

Discretionary annual performance-based bonus
Physical wellbeing programs
Mental wellbeing programs
Financial wellbeing programs

Visa sponsorship

Not detected in the job text

Keywords

Azure
Python
ETL
Unix
SQL
Shell Scripting
PySpark
Synapse
ADB
ADLS
Data Analysis
Data Warehouse
Data Integration
Agile
Jira
Confluence
Data Lake
Azure Data Factory
SQL Server
Tableau
Power BI
Data Security Classifications
Metadata Management
Data Modeling
Reverse Engineering
User Stories
Data Lineage
Data Mapping
Scrum

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