Data Engineer Manager
Posted 4 days ago
Job Description
A career in Information Technology, within Internal Firm Services, will provide you with the opportunity to support our core business functions by deploying applications that enable our people to work more efficiently and deliver the highest levels of service to our clients. You'll focus on managing the design and implementation of technology infrastructure within PwC, developing and enhancing both client and internal facing applications within PwC, and providing technology tools that help create a competitive advantage for the Firm to drive strategic business growth.Our Data Intelligence and Analysis - Practice Support team provides PwC a series of organisational technology capabilities that include business intelligence, data management, data warehouse, and data assurance. You'll help with projects that involve information technology strategy and infrastructure, enterprise architecture, enterprise applications, large scale programme and portfolio management, information technology security, data analytics, computer forensics, and emerging technologies like cloud, mobility and social networking.
Meaningful work you'll be apart of
As a Data Engineer Manager, you'll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:
• Provide data engineering support to firm and line of service projects, as well as strategic initiatives under CDAO: data architecture, data governance, data strategy
• Ownership of data engineering tasks supporting projects and strategic initiatives, along with operational activities:
• Data ingestion/data integration from a variety of data sources and enterprise applications
• Manage diverse range of integration patterns: batch, stream, API/microservices
• Data modelling and platform operations
• Support management reporting and BI dashboards
• CI/CD and DevOps processes
• Contribute to data architecture and data strategy initiatives
• Ability to break down complex problems, question assumptions and be comfortable making decisions with limited information and some degree of uncertainty
• Excellent technical skills and ability to translate conceptual diagrams into deployable solutions
Experiences and skills you'll use to solve
• Experience as a data engineer in an enterprise setting while working with a variety of data and analytic platforms, databases, analytic/BI tools, cloud experience preferred (Azure , Synapse )
• Data integration/data ingestion across structured and unstructured data sources, along with various enterprise applications
• Expertise with multiple integration/ETL patterns: batch, streaming, API/microservices
• Familiarity with modern data architecture and platforms: cloud, data mesh, data lakehouse , data warehouse
• Advanced knowledge of SQL language, proficiency with Python, Scala or Java
• Persistence such as RDBMS/NoSQL data stores and appropriate use cases
• Containerization, and experience in using Docker and/or Kubernetes
• Familiarity with data modelling and schema design for a range of consumption use-cases, including BI dashboards
• Knowledge of Spark framework, practical experience with PySpark / SparkSQL , platforms such as Databricks, MS Fabric
• Experience with GenAI /LLM technologies strongly preferred
Why you'll love PwC
We're inspiring and empowering our people to change the world. Powered by the latest technology, you'll 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: https://jobs-ca.pwc.com/ca/en/life-at-pwc
The most connected firm through activity based working
PwC Canada is committed to cultivating an inclusive, hybrid work environment - one that is collaborative, supportive and productive. We work in-person and virtually, as is best suited for our clients, teams and people . We want you to be intentional with your work, how you do it and where it's done. PwC offices are hubs of connectivity and learning. We strongly encourage our people to prioritise in-person work, whether it's in the office or at a client site. This means we expect you to be in-person (either with clients or in the office) at least half of your time. We know that hybrid work is all about balance, and capturing the benefits of in-person work is essential to your growth at the firm. Exact expectations for your team can be discussed with your interviewer.
At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We're committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.
We're committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process.
Meaningful work you'll be apart of
As a Data Engineer Manager, you'll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:
• Provide data engineering support to firm and line of service projects, as well as strategic initiatives under CDAO: data architecture, data governance, data strategy
• Ownership of data engineering tasks supporting projects and strategic initiatives, along with operational activities:
• Data ingestion/data integration from a variety of data sources and enterprise applications
• Manage diverse range of integration patterns: batch, stream, API/microservices
• Data modelling and platform operations
• Support management reporting and BI dashboards
• CI/CD and DevOps processes
• Contribute to data architecture and data strategy initiatives
• Ability to break down complex problems, question assumptions and be comfortable making decisions with limited information and some degree of uncertainty
• Excellent technical skills and ability to translate conceptual diagrams into deployable solutions
Experiences and skills you'll use to solve
• Experience as a data engineer in an enterprise setting while working with a variety of data and analytic platforms, databases, analytic/BI tools, cloud experience preferred (Azure , Synapse )
• Data integration/data ingestion across structured and unstructured data sources, along with various enterprise applications
• Expertise with multiple integration/ETL patterns: batch, streaming, API/microservices
• Familiarity with modern data architecture and platforms: cloud, data mesh, data lakehouse , data warehouse
• Advanced knowledge of SQL language, proficiency with Python, Scala or Java
• Persistence such as RDBMS/NoSQL data stores and appropriate use cases
• Containerization, and experience in using Docker and/or Kubernetes
• Familiarity with data modelling and schema design for a range of consumption use-cases, including BI dashboards
• Knowledge of Spark framework, practical experience with PySpark / SparkSQL , platforms such as Databricks, MS Fabric
• Experience with GenAI /LLM technologies strongly preferred
Why you'll love PwC
We're inspiring and empowering our people to change the world. Powered by the latest technology, you'll 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: https://jobs-ca.pwc.com/ca/en/life-at-pwc
The most connected firm through activity based working
PwC Canada is committed to cultivating an inclusive, hybrid work environment - one that is collaborative, supportive and productive. We work in-person and virtually, as is best suited for our clients, teams and people . We want you to be intentional with your work, how you do it and where it's done. PwC offices are hubs of connectivity and learning. We strongly encourage our people to prioritise in-person work, whether it's in the office or at a client site. This means we expect you to be in-person (either with clients or in the office) at least half of your time. We know that hybrid work is all about balance, and capturing the benefits of in-person work is essential to your growth at the firm. Exact expectations for your team can be discussed with your interviewer.
At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We're committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.
We're committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process.
About PwC
Industry
Management and ConsultingCompany Size
5001-10,000 employees
Application closing date is 2024-07-13
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