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Added 3 mins ago
Analyste de données / Data Analyst
Data Sciences
Montreal, QC
Full-time
2+ ans d'expérience en rédaction de requêtes SQL complexes, pour transformer et extraire des données de bases de données relationnelles ou d'entrepôts de données.
Added 17 mins ago
Oracle Database Modeller (D#5547)
New Value Solutions
Ottawa, ON
Contract
Experience with Microsoft Access, Microsoft Azure DevOps, Oracle SQL Developer and/or Oracle SQL Developer Data Modeller.
Added 17 mins ago
Research Scientist
UNB Geodesy & Geomatics Engineering
Fredericton, NB
Full-time
Experience or training with research-based software such as SPSS, Overview, R, SAS, Python, SQL, Stata, NVivo, JMP, REDCap, etc. considered an asset.
Added 17 mins ago
Oracle APEX Developer (ID#5546)
New Value Solutions
Ottawa, ON
Contract
New Value Solutions, a national IT consulting company, is seeking a Senior Oracle APEX Full-Stack Developer for a long-term engagement. The successful candidate will bring extensive…
Added 17 mins ago
Oracle Data Migration Developer (ID#5548)
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Experience with Microsoft Azure DevOps, Oracle SQL Developer and/or APEX Office Print.
Added 17 mins ago
Client Implementation & Service, Assistant Vice President
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Added 18 mins ago
Sr. Business Systems Analyst, TD Securities
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Toronto, ON
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Added 18 mins ago
Senior Data Scientist - GenAI
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Full-time
…libraries/frameworks, e.g., PyTorch, scikit-learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos…
Added 18 mins ago
Stage - Hiver 2027 - Administration des contrats, analyse des ventes et marketing / Internship - Winter 2027 - Contract Administration, Sales Analysis & Marketing
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Expérience de SQL afin de créer et d'exécuter des requêtes.
Added 33 mins ago
Java Developer
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Added 47 mins ago
Senior Developer, D365
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Added 47 mins ago
Senior Backend Engineer, NodeJS | LATAM
Deel
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Added 47 mins ago
Oracle Technical Analyst
InSync Systems
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Proficiency in Oracle SQL/PLSQL development and a strong understanding of application-level database interactions.
Added 47 mins ago
Senior Data Engineer, Analytics
nesto
Vancouver, BC
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Design and maintain ELT pipelines from SQL Server, Azure SQL, REST APIs and SaaS platforms, with incremental loads, safe reruns and clear failure handling.
Added 47 mins ago
Business Data Analyst
Aptino, Inc.
Toronto, ON
$40 to $45 CAD / hour
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We are looking for a Business Analyst / Data Analyst with strong experience in Power BI, SQL, Excel, dashboard development, and regulatory/compliance reporting.
Added 47 mins ago
Senior Data Engineer, Analytics
nesto
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Added 1 hour ago
Senior Data Modeler
OMERS
Toronto, ON · Head Office Toronto
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Added 1 hour ago
Data Warehouse Application Support
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Business Objects Developer
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Job Title: SAP BO (Business Objects) Developer
Added 1 hour ago
Python Developer with SQL
Ztek Consulting
Montreal, QC
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We are looking for a Python Developer with strong SQL/database experience to develop and maintain scalable applications and data-driven solutions. The candidate should have strong hands-on…
Added 1 hour ago
Full-time Senior Data and Analytics Systems Analyst
Algonquin College of Applied Arts and Technology
Ottawa, ON
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…This position independently develops and optimizes complex SQL, data models, ETL/ELT processes, and integrations involving legacy, on-premises, and software-as-a-service systems. This…
Added 1 hour ago
Data Scientist II
TD
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Full-time
Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and…
Added 1 hour ago
Data Scientist II
TD
Toronto, ON
Full-time
Advanced proficiency in SQL and Python/PySpark, with experience building production-ready analytical solutions.
Added 1 hour ago
Senior Java Developer, TD Securities
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We are looking for a savvy Senior Java Developer to join our growing Prime Technology team. The hire will be responsible for designing, building, maintaining, and supporting applications…

Cognizant

AI-Aware Data Engineer (Oracle, PostgreSQL & Azure)

Toronto, ON, Canada

Pay: The annual salary for this position is anticipated to be between $100,000 and $125,000, depending on experience, qualifications, geographic location, skills, and other job-related factors.
Job type: Full-time
Apply by: Oct 28, 2026
Experience: 8-12 years of experience designing, developing, and supporting enterprise data solutions.
Posting language: English
Posted: Sep 28, 2026

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Original job description

About The Role

As an AI-Aware Data Engineer, you will make an impact by designing, developing, and optimizing enterprise data solutions that support analytics, reporting, and AI-ready data initiatives. You will be a valued member of the Data Engineering team and work collaboratively with architects, developers, business stakeholders, testers, and operations teams to build scalable, secure, and high-performing data platforms.

In this role, you will leverage your expertise in Oracle, PostgreSQL, Azure Data Factory, SSIS, and C# to deliver modern data integration solutions while supporting Life & Annuities insurance business processes and enabling AI-driven insights.

In This Role, You Will

Design and implement efficient data models and integration patterns across Oracle and PostgreSQL environments to support enterprise analytics and reporting.
Develop and optimize C#-based data services and APIs that interact with relational databases and enterprise data platforms.
Build, maintain, and optimize scalable data pipelines using Azure Data Factory for ingestion, transformation, and loading of structured and semi-structured data.
Configure, enhance, and support Microsoft SSIS packages for complex data integration and transformation processes.
Develop advanced PL/SQL procedures, functions, and packages that support business logic, data validation, and high-volume transactional processing.
Monitor, troubleshoot, and optimize end-to-end data workflows across Oracle, PostgreSQL, Azure Data Factory, and SSIS environments.
Collaborate with architecture and application teams to develop secure, scalable, and compliant data solutions aligned with enterprise standards.
Create and maintain technical documentation, data flow diagrams, process documentation, and operational procedures.
Prepare high-quality, AI-ready datasets, metadata assets, and curated data structures to support analytics, machine learning, and predictive modeling initiatives.
Implement data quality controls, validation checks, reconciliation processes, and governance standards that support regulatory and business requirements.
Translate Life & Annuities insurance concepts, including policies, premiums, claims, and reserves, into scalable data models and reporting solutions.
Support deployment planning, release validation, production monitoring, and operational support activities within a day-shift environment.
Communicate effectively with technical and business stakeholders through design discussions, project updates, and issue-resolution activities.

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 days per week in a client or Cognizant office.

Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What You Need to Have to Be Considered

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field.
8-12 years of experience designing, developing, and supporting enterprise data solutions.
Strong expertise in Oracle database development, schema design, performance tuning, partitioning, and PL/SQL programming.
Advanced experience with Azure Data Factory, including pipeline development, orchestration, scheduling, and parameterization.
Strong experience developing and maintaining Microsoft SSIS packages and enterprise ETL workflows.
Hands-on experience with PostgreSQL administration, performance optimization, and query tuning.
Strong C# development experience building data-centric services, APIs, and integration solutions.
Experience designing and implementing scalable data integration and transformation architectures.
Strong understanding of data governance, data quality, security, and compliance practices.
Experience working with enterprise cloud and hybrid data environments.
Strong analytical, problem-solving, and stakeholder management skills.
Excellent written and verbal communication skills in English.

These Will Help You Stand Out

Experience supporting Life & Annuities insurance platforms and business processes.
Knowledge of policy administration, premiums, claims, reserves, underwriting, and insurance reporting.
Experience preparing AI-ready datasets and supporting machine learning, predictive analytics, or AI initiatives.
Familiarity with modern data architecture patterns, including Data Lakes, Data Warehouses, and Lakehouse platforms.
Experience implementing data observability, monitoring, and automated quality controls.
Exposure to cloud-native analytics and reporting solutions on Azure.
Experience working within Agile delivery environments.
Knowledge of responsible AI, metadata management, and data lineage concepts.

Salary And Other Compensation

The annual salary for this position is anticipated to be between $100,000 and $125,000, depending on experience, qualifications, geographic location, skills, and other job-related factors.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits

Cognizant offers a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our associates and their families, including:

Medical, dental, vision, and life insurance
Employee Stock Purchase Plan (ESPP)
Employee Assistance Program (EAP)
Paid holidays and paid time off (PTO)
Paid parental leave and fertility assistance programs
Learning and development programs, certifications, and career advancement opportunities
Wellness and mental health resources
Career growth and internal mobility opportunities

Benefits may vary by location and employment status and are subject to change.

Application Deadline

Applications will be accepted until October 30, 2026.

Cognizant reserves the right to close this posting earlier based on application volume, business needs, or hiring timelines.

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More about this job

Responsibilities

Design, develop, and optimize enterprise data models, integrations, pipelines, services, and APIs using Oracle, PostgreSQL, Azure Data Factory, SSIS, and C#. Ensure data workflows are secure, reliable, well-documented, and governed, while preparing AI-ready datasets and supporting Life and Annuities insurance analytics and operations.

Requirements

Requires a bachelor's degree in a related field and 8–12 years of experience designing, developing, and supporting enterprise data solutions. Candidates need strong Oracle and PL/SQL, Azure Data Factory, SSIS, PostgreSQL, and C# expertise, along with data architecture, governance, quality, security, communication, and stakeholder skills.

Skills

Oracle
PostgreSQL
Azure Data Factory
Microsoft SSIS
C#
PL/SQL
Data Modeling
Data Integration
ETL
Database Performance Tuning
Data Governance
Data Quality
Data Security
AI-Ready Data
Life And Annuities Insurance
Stakeholder Management

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Employee Stock Purchase Plan
Employee Assistance Program
Paid Holidays
Paid Time Off
Paid Parental Leave
Fertility Assistance
Learning And Development Programs
Certifications
Wellness And Mental Health Resources
Career Advancement Opportunities
Career Growth And Internal Mobility

Visa sponsorship

Not detected in the job text

Keywords

Oracle
PostgreSQL
Azure Data Factory
Microsoft SSIS
C#
PL/SQL
Enterprise Data Solutions
Data Engineering
Data Modeling
Data Integration
ETL
Data Pipelines
APIs
Database Administration
Performance Tuning
Data Governance
Data Quality
Data Security
Regulatory Compliance
AI-Ready Datasets
Machine Learning
Predictive Analytics
Data Lakes
Data Warehouses
Lakehouse
Data Observability
Metadata Management
Data Lineage
Life And Annuities Insurance
Agile

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