Senior Analyst, Data Engineering

Avanade Inc.; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Avanade Inc. is seeking a data engineering professional in the Toronto area to design, develop, and support data engineering and analytics solutions using modern Microsoft technologies.

Your work will include building data pipelines and transformations with Python, SQL, and cloud-native services, collaborating with stakeholders to translate business needs into technical solutions. You will perform data discovery, profiling, validation, and quality assessment, support reporting and AI use cases,

Qualifications

• Experience designing and building data engineering solutions using modern Microsoft technologies.
• Ability to build and maintain data pipelines, transformations, and data products.

Responsibilities

• Design, develop, and support data engineering and analytics solutions using Microsoft technologies.
• Build and maintain data pipelines, transformations, and data products.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Perform data discovery, profiling, validation, and quality assessment.
• Support the development of reporting, analytics, and AI use cases.
• Troubleshoot and optimize data workflows for performance and reliability.
• Work with architects to implement governance, security, and data management best practices.
• Continuously learn and adopt emerging technologies in Data, Analytics, and AI.

Skills

Data engineering

Analytics

Microsoft technologies

Tools

Microsoft Fabric

Python

SQL

Cloud-native services

Job description

What You'll Do

• Design, develop, and support data engineering and analytics solutions using modern Microsoft technologies.
• Build and maintain data pipelines, transformations, and data products using Microsoft Fabric, Python, SQL, and cloud-native services.
• Collaborate with business stakeholders to gather requirements, understand business processes, and translate needs into technical solutions.
• Perform data discovery, profiling, validation, and quality assessment activities.
• Support the development of reporting, analytics, and AI use cases.
• Contribute to solution design workshops, technical documentation, and client presentations.
• Troubleshoot and optimize data processing workflows to improve performance and reliability.
• Work closely with architects and senior team members to implement best practices for governance, security, and data management.
• Continuously learn and adopt emerging technologies in Data, Analytics, and Artificial Intelligence.
• Design, develop, and support data engineering and analytics solutions using modern Microsoft technologies.
• Build and maintain data pipelines, transformations, and data products using Microsoft Fabric, Python, SQL, and cloud-native services.
• Collaborate with business stakeholders to gather requirements, understand business processes, and translate needs into technical solutions.
• Perform data discovery, profiling, validation, and quality assessment activities.
• Support the development of reporting, analytics, and AI use cases.
• Contribute to solution design workshops, technical documentation, and client presentations.
• Troubleshoot and optimize data processing workflows to improve performance and reliability.
• Work closely with architects and senior team members to implement best practices for governance, security, and data management.
• Continuously learn and adopt emerging technologies in Data, Analytics, and Artificial Intelligence.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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