Azure Data Consultant, Senior Associate

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Senior Associate

Job Description & Summary

At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.

In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.

Meaningful work youll be part of

As a Senior Associate Azure Data Engineer you will play a key role in designing and building data solutions on Azure. You will work closely with project teams to deliver high-quality data pipelines ensure data integrity and support deployment activities. Responsibilities include but are not limited to:

Act as an expert in Azure Data Platform including Azure Data Factory (ADF) Azure Databricks Synapse Analytics Event Hub Blob Storage.
Design and build scalable data pipelines for ingestion transformation and curation/normalisation of data.
Implement data quality checks error handling and monitoring frameworks to ensure reliability.
Apply strong knowledge of data modelling and data warehouse concepts to optimise architecture.
Troubleshoot issues during development and testing phases ensuring smooth deployment of data pipelines.
Collaborate with data scientists analysts and business stakeholders to deliver robust solutions.
Support pre-sales activities and RFP responses with technical input when required.
Contribute to knowledge sharing and best practices within the team.

Experiences and skills youll use to solve

Bachelors degree in Computer Science Engineering or related field
Hands-on experience with Azure data services: Data Factory Synapse Databricks Event Hub Blob Storage.
Proficiency in SQL and Python; strong understanding of ETL/ELT processes.
Hands-on experience with Power BI
Knowledge of data quality frameworks and error handling techniques.
Strong analytical and problem-solving skills; effective communicator.
Preferred certifications:Microsoft Certified: Azure Data Engineer Associate (DP-203); Microsoft Certified: Fabric Analytics Engineer Associate; Databricks Certified Data Engineer Associate
This role does not require professional engineering licensure and is not classified as a formal engineering position under provincial regulatory definitions. While individuals with a designation are welcome to apply the responsibilities of this role do not involve the practice of professional engineering as defined by applicable legislationPwC Canada is committed to cultivating an inclusive hybrid work environment. Exact expectations for your team can be discussed with your interviewer

Thisnewly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $84700 - $134700.The posted salary rangerepresentsthe expected hiring range for PwC locations in major citycentres. Given our national recruiting approach ranges may vary for positions in other locations. At PwC Canada base salary isdeterminedby your skills experiencequalificationsand work location.In addition to base salary eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why youll love PwC

Were inspiring and empowering our people to change the world. Powered by the latest technology youll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work and our continuous development environment will take your career to the next level. We reward your impact and support your wellbeing through a competitive compensation package inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: Canada acknowledges that we work and live across Turtle Island on the land that is now known as Canada which are the lands of the ancestral treaty and unceded territories of the First Nations Métis and Inuit Peoples. We recognize the systemic racism colonialism and oppression that Indigenous Peoples have experienced and still go through and we commit to allyship and solidarity.

Education (if blank degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 28 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

Were committed to providing accommodation throughout the application interview and employment process. If you require accommodation to be at your best please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started so we know you have questions about how and why we use it. At certain points during our recruiting process we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly without seeing identity information such as your name or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills experience and likely success at PwC Canada. While AI supports parts of our recruitment process final hiring decisions always involve human review. For more information about our use and protection of your data please refer to our Privacy Policy ( tenons à répondre à vos besoins tout au long du processus de demande demploi dentrevue et dembauche. Si vous avez besoin de mesures dadaptation pour être parfaitement à laise faites-le-nous savoir à létape de la demande demploi.

Lutilisation de lintelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement nous comptons sur lIA pour améliorer votre expérience. Par exemple pendant lexamen du curriculum vitæ ou lélaboration dune liste de recommandations personnalisées un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour lentrevue. LIA nous aide à mieux lutter contre les préjugés car lévaluation des candidats se fait de façon juste et équitable sans que les informations didentification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et dévaluer le lien entre leurs compétences leur expérience et leurs chances de réussir chez PwC Canada. Bien que lIA facilite certaines étapes de notre processus de recrutement les décisions finales dembauche sont toujours prises par des personnes. Pour en savoir plus sur lutilisation et la protection de vos données personnelles consultez notre politique sur la protection des renseignements confidentiels ( Experience:

Senior IC

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismTechnology StrategyManagement LevelSenior AssociateJob Description & SummaryAt PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clien...