Manager, Microsoft-azure

**Overview**

At KPMG, you'll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

**The opportunity**:
Our Microsoft Practice is looking for Data Engineers who are passionate about their work and love a challenge If you have strong analytical and communication skills and have experience with planning, designing and implementing Enterprise Solutions on the Data Solutions on the Microsoft Platform then we have the perfect opportunity for you.

The Microsoft practice is the fastest growing part of our business. We are seeing tremendous client demand and we don't anticipate that slowing down. If you can work in a dynamic, fast, fluid and entrepreneurial environment you will excel, and find a wide range of opportunities to grow your career with us.

**What you will do
- Assist in the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities.
- Designs, develops and produces data models of relatively high complexity, leveraging a sound understanding of data modeling standards to ensure high quality.
- Leading the delivery of data quality reviews including data cleansing where required to ensure integrity and quality.
- Develop working relationships with peers across other engineering teams and beginning to collaborate to develop leading data engineering solutions.
- Driving adherence to the relevant data engineering and data modeling processes, procedures and standards.
- Support pre-sales efforts by providing product, technical, and business expertise for proposals, customer presentations and/or tailored software demonstrations.
- Stay up to date with new products, technologies and trends on the market.
- Holds a Security Clearance

**What you bring to the role
- 5+ years of proven experience with data architecture and data engineering.
- Experience with Data Integration (Sourcing, Storage and Migration) - Capability to design and implement models, capabilities and solutions to manage data within the enterprise.
- Data Quality, Profiling and Cleansing - Capability to profile a data set to establish its quality against a defined set of parameters and to highlight data where corrective action is required.
- Stream Systems - Capability to discover, integrate, and ingest all available data from the machines that produce it, as fast as it's produced, in any format, and at any quality.
- Experience with Data Lake, Data Intake, Transformation, Relational and NoSQL modeling.
- Experience in creating BI visualizations, dashboards and reports using Power BI.
- Strong foundational understanding of cloud analytics and data management.
- Strong SQL coding skills and knowledge of Python.
- Strong knowledge of DevOps processes.
- Good business acumen and ability to translate commercial requirements into technical solutions including ability to communicate technical concepts and their impact to stakeholders at all levels.
- Experience working with Azure Data Factory and SSIS Packages for data ingestion and transformation using Azure Cosmos DB and Azure SQL PaaS services.
- Hands on experience with data processing and analytics using Azure Synapse, Azure Data Lake and Azure Databricks.

**Keys to your success
- Highly motivated individual, enthusiastic to take on a variety of challenges and opportunities.
- Strong technical background.
- Strong communication skills, both written and oral. Crucial aspect to deal with team members, management and business stakeholders.
- Team player that enjoys sharing their knowledge.
- Possess a 'can do - will do' attitude.

For more information about KPMG in Canada's Benefits and well-being, click here.

**Our Values, The KPMG Way**

**Integrity **, we do what is right |
**Excellence **, we never stop learning and improving |
**Courage **, we think and act boldly |
**Together **, we respect each other and draw strength from our differences |
**For Better **, we do what matters