Data Engineer

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*** Data Engineer page is loaded## Data Engineer locations:
Toronto, Ontario:
Waterloo, Ontario time type:
Temps pleinposted on:
Publié aujourd'huitime left to apply:
Date de fin : 16 février 2026 (Il reste 12 jours pour postuler) job requisition :
JRThe ideal candidate for a Data Engineer role is someone with strong programming skills, experience with database management systems, and a deep understanding of ETL (Extract, Transform, Load) and EDL processes. They should also have excellent problem-solving skills and the ability to collaborate effectively in a team-oriented environment! ##
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* Position Responsibilities:

*** Data Pipeline Development:
Building and maintaining robust and scalable data pipelines that automate the collection, transformation, and storage of data from various sources.
* Data Integration:
Ensuring seamless integration of data from different sources into a unified data warehouse or data lake, facilitating easy access and analysis.
* Database Management:
Designing, implementing, and managing databases and data storage solutions that can handle large volumes of data efficiently.
* Data Quality and Governance:
Putting in place systems and resources to secure the correctness, uniformity, and safeguarding of data company-wide.
* Performance Optimization:
Monitoring system performance and making improvements as needed to ensure data systems are running efficiently and effectively.

* Collaboration:

Working with data scientists, analysts, and other collaborators to understand data requirements and deliver solutions that meet business needs.
* Technology Evaluation:
Staying up to date with emerging technologies and tools in data engineering and recommending their adoption where appropriate to improve data processes and infrastructure.##
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* Required Qualifications:

*** 5 to 7 years of experience in data engineering or a related field.
* 3 to 5 years of experience in developing and managing Azure Data Pipelines.
* Demonstrable experience with Databricks, including building and maintaining data pipelines.
* Proficient in ETL (Extract, Transform, Load) processes and standard methodologies.
* Experience with Informatica for data integration and transformation tasks.
* Proficiency in using reporting tools like Power BI and Cognos for data visualization and reporting.
* Solid understanding of data architecture and database management systems.
* Strong programming skills in languages such as Python, SQL, or Scala.
* Excellent problem-solving abilities and attention to detail.
* Ability to work collaboratively in a team-oriented setting and communicate effectively with technical and non-technical collaborators.
* Experience with data quality and data governance practices to ensure data integrity and security across the organization.
* Familiarity with performance monitoring and optimization techniques for large-scale data systems.## ##
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* Preferred Qualifications:

*** Master's degree in Computer Science, Engineering, or a related field## ##
** When you join our team:
*** We’ll empower you to learn and grow the career you want.
* We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
* As part of our distributed team, we’ll help you build the future you envision.**À propos de Manuvie et de John Hancock
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