Data Engineer (Senior Consultant) - Future Opportunities
Posted A month ago
Job Description
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.
Our Vancouver team are looking for a highly motivated Data Engineer at a Senior Consultant level to join our team! As a member of KPMG Canada's Lighthouse team, you will be dedicated to enabling and optimizing our clients' functionality across our data, analytics, and software solutions. This role will be a rewarding experience for you if you:
What you will do
As a Senior Consultant, you'll lead and work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve complex business issues from strategy to implementation. Specific responsibilities include but are not limited to the following:
The expected base salary range for this position is $71,500 to $119,000 and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on the individual's location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
#LI-Hybrid
Providing you with the support you need to be at your best
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
KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.
Adjustments and accommodations throughout the recruitment process
At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have the opportunity to request an adjustment or accommodation at any point throughout the recruitment process. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG's Employee Relations Service team by calling 1-888-466-4778.
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.
Our Vancouver team are looking for a highly motivated Data Engineer at a Senior Consultant level to join our team! As a member of KPMG Canada's Lighthouse team, you will be dedicated to enabling and optimizing our clients' functionality across our data, analytics, and software solutions. This role will be a rewarding experience for you if you:
- Thrive in a growth focused environment, providing you exposure to rewarding projects that deliver impact to clients across different verticals.
- Work well in a project team environment and have excellent collaboration and interpersonal skills
- Have a "figure it out" mindset.
What you will do
As a Senior Consultant, you'll lead and work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve complex business issues from strategy to implementation. Specific responsibilities include but are not limited to the following:
- Work with various engagement teams to understand business and gather technical data strategy and solutions for client engagements.
- Participate in architecture, development, deployment and maintenance of secure, extensive, scalable, repeatable and high-performing data platforms and optimal data pipelines to source data from variety sources within on-prem and cloud environments (MS Azure and AWS) to support streaming data, batch data flows.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Perform data management tasks, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability.
- Develop standards for data processes and automate routine tasks.
- Run queries for descriptive analytics and provide formatted result sets.
- Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
- Create data tools for analytics and data scientist team members that assist them in developing and optimizing our product into an creative industry leader.
- Take ownership of projects and pushing technological boundaries.
- Establish and maintain effective working relationships with colleagues, existing clients, and prospective client organizations.
- Engage in and contribute to the innovation, growth, and enhancement of KPMG Lighthouse services.
- 3+ years of experience in data engineering (supporting data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) ideally within a services/consulting organization.
- Experience with relational and non-relational databases, including query language (SQL).
- Experience developing and optimizing data pipelines, architectures and data models for all data types, speed, and sizes.
- Experience performing root cause analysis on internal and external data; processes to answer specific business questions and identify opportunities for improvement.
- Experience supporting in development of standards, processes supporting data, data transformation, data structures, metadata, dependency, and workload management.
- Experience manipulating, processing, and extracting value from large discrete datasets.
- Working knowledge of message queuing, stream processing, parallel processing, and data lakes.
- Experience deploying and maintaining high performance computing VMs in on-premise and cloud environment;
- Experience using a combination of industry relevant software/tools including some of the following:
- Relational SQL and NoSQL databases: MS SQL Server, PostgreSQL and Cosmos DB.
- Data Warehousing Solutions (Azure Synapsepreferred).
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Cloud data services (Azure preferred).
- Object-oriented/object function scripting languages: Python(preferred), Java, C++, Scala.
- Big data tools: Hadoop, Spark, and Kafkaare desired.
- Stream-processing systems: Spark-Streaming, DataBricks, and Azure Event Hubsare desired.
The expected base salary range for this position is $71,500 to $119,000 and may be eligible for bonus awards. The determination of an applicant's base salary within this range is based on the individual's location, skills, & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.
#LI-Hybrid
Providing you with the support you need to be at your best
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
KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.
Adjustments and accommodations throughout the recruitment process
At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have the opportunity to request an adjustment or accommodation at any point throughout the recruitment process. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG's Employee Relations Service team by calling 1-888-466-4778.
About KPMG
Industry
Banking & FinanceCompany Size
5001-10,000 employees
Application closing date is 2025-01-18
Current Openings
-
Azure Data Architect
KPMG
Full Time
-
Full Time
-
Full Time
-
Full Time
-
Full Time
-
Full Time
-
Data Engineer- Head Office
OpenRoad Auto Group
Full Time
-
Full Time
-
Full Time
-
Full Time