Data Engineer (Hadoop, Big Data)

Job description

Working at KPMG allows you to gain valuable on-the-job experience while building your professional network and business acumen. Being part of the KPMG Global member firm of 155 countries and 174,000 professionals, you'll be part of a high performing team and have access to ongoing professional development and mentorship at every level. You will work with national and global organizations, adding value and gaining valuable on-the-job experience. At KPMG, we'll provide you with the support to drive your own career and discover the countless opportunities available.

Position Summary

Our Data and Analytics practice is a strategic growth initiative for KPMG and it is growing rapidly. We provide clients with D&A solutions which range from the foundational to very advanced. We often help clients with First-of-a-Kind capabilities which helps them transform and become leaders in their space. Our innovation driven growth provides practitioners lots of opportunity to learn and develop. D&A practitioners are expected to be proficient on several of the following capabilities and are expected to work on engagements, which will include one or more of the following:

·  Help our clients transform in a digital world: Business and analytics strategy to adapt to changes resulting from technological advances, disruption of business models and data monetization
·  Artificial Intelligence and Automation: Develop intelligent bots to help eliminate bias, human error, and inefficiency in decision making .
·  Virtual and Augmented Reality and the Internet of Things: Understand and articulate how technologies such as these are changing the world. Prototype and develop solutions which include VR/AR and IoT which change user experience, business models and much more
·  Analytical Enterprise: Enabling people with tools, process and governance
·  Information Management: Building trust in the data they use and report, as well as how it is managed and stored
·  Data engineering and Big Data: Ensuring architecture is scalable and flexible to business change
·  Reporting & Visualization: Identifying the right KPIs, dashboard to help effectively monitor performance and enable insight discovery
·  Advanced Analytics: Enabling greater insight into business drivers and future outlook to proactively inform business decisions using supervised and unsupervised techniques Read here to know more about: KPMG Data & Analytics

Role & Responsibilities

·  Work in teams or individually to perform ETL (Extract, Transform and Load) of data from variety of databases, from SQL, NoSQL, Hadoop, Neo4j
·  Strong experience with large scale and/or distributed processing methodologies such as Storm, Spark, and many others
·  Review data quality and definitions, and perform data cleansing and data management tasks
·  Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging the data for analysis
·  Architect the data platform for scalability, repeatability and performance
·  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
·  Support application testing and production implementation as required
·  Come to work with an intrinsic desire to change your world
·  Inspire a very smart and talented team to be better at what they already do and innovate in new areas
·  Lead engagements and teams to successful outcomes with a focus on problem solving and execution
·  Understand the business challenge, the data points associated with that scenario and be able to formulate solutions through the application of people, process, technology and data
·  Be a thought leader in your area of expertise Skills & Qualifications:

·  An insatiable curiosity to learn, an aptitude to figure it out and a hunger to make a difference
·  Strong communication and interpersonal skills
·  Ability to think critically and laterally - problem solve and innovate within a team environment
·  High level of attention to detail, excellent time management skills, ability to perform under pressure
·  Post-Secondary education equivalent to a university degree in numerate or analytical disciplines such as Mathematics, Computer Science, or Engineering. (Candidates with the equivalent of a Masters degree in a relevant subject including, but not limited to Mathematics, Science, Engineering, Business Administration, Marketing, Operational Research, Economics, Statistics , AI, Computer Science or a related field etc. will be preferred.) Technical Skills:

·  A successful track record of leading large scale Data Driven engagements within integrated, multi-disciplinary project teams
·  Proven data extraction, analysis, cleansing, quality and manipulation skills, as well as experience handling very large volumes of data
·  Well versed with the Software Development Lifecycle, Product Management, Principles of Software Engineering or Data Mining Methodologies
·  Extensive experience with standard statistical packages or Languages (R, Python, MATLAB, SAS, SPSS, etc.)
·  Proficiency in scripting (Perl, PowerShell, etc.)
·  Experience with programming languages such as (Python, Java, C, C++, etc.)
·  Prior exposure to tools like Alteryx, Tableau, Spotfire, PowerBI, etc.
·  Experience with Hadoop (HDFS, Hive, Pig, Informatica, ErWin, etc.), databases (SQL Server, Oracle, etc.), solution Definition and Application, and methods (SDLC, PMLC)
·  Experience with embedded OS for IoT is a plus
·  Experience with Microsoft Hololens is a plus
·  Proficient in Microsoft PowerPoint, Excel, Access and Word Having fun is key to our productivity and creativity and we provide access to cool relaxation gadgets. We enjoy our work and work hard with a relentless focus on quality and success. At times, business needs arise and employees are required and agree to work beyond their normal work day or work week to fulfill the accountabilities required for their job. Likewise, people need extra time to devote to personal matters, and our approach to flexibility provides for this.

Location Toronto, ON ,Our Values, The KPMG Way We lead by example | We work together | We respect the individual
We seek the facts and provide insight | We are open and honest in our communication
We are committed to our communities | Above all, we act with integrity

KPMG is an equal opportunity employer and values diversity in its workforce. KPMG encourages applications from all qualified individuals and will accommodate applicants' disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. Any assessment and selection materials or processes used during the recruitment process will be available in an accessible format to applicants with disabilities, upon request. If you require a disability-related accommodation in order to participate in the recruitment process , please contact the HR Shared Service Centre by email or by phone at 416-777-8002 or toll free 1-888-466-4778 (Option 1). KPMG will consult with all applicants with disabilities who request accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant's individual accessibility needs.

Category Consulting,Industry Not Applicable