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Cognizant

Azure BSA ( Hybrid )

Toronto, ON, Canada

The base salary for this position ranges between $80000– $115000 per year. · Full-time

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Job details

Pay: The base salary for this position ranges between $80000– $115000 per year.
Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 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 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

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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
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Only go beyond 5 if absolutely necessary
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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– $115000 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

Analyze current data systems through reverse engineering, identify source and downstream systems, and document requirements, user stories, data mappings, and lineage. Build data quality checks and complex SQL queries, resolve issues, and collaborate with business stakeholders and project teams to prioritize and deliver data integration solutions.

Requirements

Requires hands-on business analysis experience in data analysis, data warehousing, or data integration within an Agile environment, along with strong SQL and data analysis skills. Candidates should be able to develop requirements, assess data security classifications and metadata, and work with tools and platforms such as Azure, Python, Jira, and Confluence.

Skills

Azure
Python
ETL
Unix
SQL
Shell Scripting
PySpark
Azure Synapse
Azure Databricks
Azure Data Lake Storage
Data Analysis
Data Warehousing
Data Integration
Data Quality
Requirements Elicitation
Data Lineage

Benefits

Wellbeing Programs

Visa sponsorship

Not detected in the job text

Keywords

Azure
Python
ETL
Unix
SQL
Shell Scripting
PySpark
Azure Synapse
Azure Databricks
Azure Data Lake Storage
Azure Data Factory
SQL Server
Tableau
Power BI
Jira
Confluence
Business Analysis
Data Analysis
Data Warehousing
Data Integration
Agile
Data Quality
Data Security Classification
Metadata Management
Requirements Elicitation
User Stories
Data Lineage
Data Mapping
Source And Target Systems
Reverse Engineering

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