Conducting a qualitative review of activities about software development, laboratories, computing, industrial facilities, data centers, etc.
Conducting a review of technical information and technical documentation received from clients’ software development subject matter experts, including engineers and technical specialists to discover information that represents research and development activities.
Conducting interviews of clients’ subject matter experts, including scientists, engineers, architects, technical specialists
Understanding different software development methodologies, software design patterns, and high-level software architecture concepts. Examples include Object-Oriented Programming, Big Data, RDBMS design concepts, and high-level concepts relating to emerging software technologies including IoT, Blockchain, Big Data, AI, and ML.
Supporting teams of client and KPMG personnel in the execution of work, monitoring and support progress against project milestones to help ensure timely and high-quality delivery of deliverables across a variety of clients within multiple industries
Preparing client technical reports and work papers
Organizing documentation and creating deliverables
Writing clear, comprehendible, and exhaustive emails
Qualifications
Mandatory Skills
Qualifications: Bachelor or Master’s degree in Computer Engineering, Computer Science, Electronics, Electrical Engineering, Mechanical Engineering, or similar discipline from a Tier 1 or Tier 2 College.
Excellent written and verbal communication skills
Familiarity with Microsoft Excel and Word.
Strong deductive reasoning, critical thinking, and analytical abilities
Attention to detail
Prioritization and time management skills
Effective team player
Personal drive and positive work ethic to deliver results in demanding situations
Preferred Skills
Proficiency in at least one programming language such as Java, C, C++, C#, Visual Basic, or similar.
Working knowledge of or familiarity with SQL, database concepts, cloud technology (AWS, Azure) common software design patterns, data structures and algorithms, common computer infrastructure concepts, web-based or n-tiered architectures, SOA, micro-services, databases, middleware, Big Data is strongly preferred