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Specialty/Competency: Software Engineering
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 20%
A career in Products and Technology is an opportunity to bring PwC’s strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change. Our team is responsible for all software engineering activities to ensure that business objectives are met. This includes the creation, development, design, and improvement of products, software, applications, and services. These roles are responsible for the development of computer programming systems and applications including the design, coding, testing and deployment of products and solutions to meet business obligations.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
Responsibilities
As a Manager, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
• Pursue opportunities to develop existing and new skills outside of comfort zone.
• Act to resolve issues which prevent effective team working, even during times of change and uncertainty.
• Coach others and encourage them to take ownership of their development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firm’s/client’s expectations.
• Develop a perspective on key global trends, including globalisation, and how they impact the firm and our clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Focus on building trusted relationships.
• Uphold the firm’s code of ethics and business conduct.
Basic Qualifications
Job Requirements and Preferences:
Minimum Degree Required
Bachelor Degree
Minimum Years Of Experience
4 year(s) of experience in progressive roles focused in data analytics, development and data architecture.
Preferred Qualifications
Preferred Knowledge/Skills:
Role
Demonstrates extensive knowledge and/or a proven record of success in applied subject matter such as IT, finance, accounting, energy or health care role emphasizing data modeling and analytics for a global network of professional services firms, including the following areas:
• Understanding of database storage models including NoSQL (Graph, MongoDB, etc) database models, XML, relational and other database models and associated SQL;
• Understanding of ETL tools and techniques, such as tools like Talent, Mapforce, how to map transformation and flow of data from a source to a target system;
• Performing in development language environments e.g. C#, Python, Java, or equivalent and applying analytical methods to large and complex datasets leveraging one of those languages;
• Automating complex processes;
• Translating business requirements into relevant data models; and,
• Utilizing and applying into projects knowledge of technologies such as machine learning frameworks provided by Microsoft, Google, Amazon, etc.
Requirements
Demonstrates extensive abilities and/or a proven record of success in the application of technical requirements translation, data modeling, data mining or data-driven problem solving, including the following areas:
• Understanding of database storage models including NoSQL (Graph, MongoDB, etc) database models, XML, relational and other database models and associated SQL;
• Understanding of ETL tools and techniques, such as tools like Talent, Mapforce, how to map transformation and flow of data from a source to a target system;
• Demonstrating proficiency in developing batch and streaming application using Python;
• Demonstrating experience in using Spark or Azure Databricks Platform, Databricks Delta Lake;
• Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large scale system;
• Utilizing and applying into projects knowledge of data wrangling techniques and scripting languages with proven ability in working on a cloud based infrastructure environment;
• Understanding how to develop data analytic models and operationalize these models so they can run in an automated context;
• Working independently with minimal guidance;
• Leveraging problem solving and troubleshooting skills with proven ability exercising mature judgment;
• Prioritizing effectively workload to meet deadlines and work objectives;
• Writing clearly and succinctly in a manner that appeals to a wide audience;
• Communicating complex engineering concepts succinctly to senior non-technical and technical decision makers;
• Performing development, data analytics and programming/scripting, especially C#, Java, Scala, C++, R, SQL, etc.;
• Visualizing and communicating analytical results, ideally using open source visualization technologies such as HTML, JavaScript, and related packages such as D3, Tableau, and PowerBI;
• Using large data sets, along with analytical scripting tools and visualization platforms to produce actionable insights for clients, data cleansing, transformation, and modeling in order to produce a clear story that is easily comprehended by non-technical audiences;
• Leading, training and working with others in designing effective analytical approaches taking into consideration performance and scalability to large datasets; and,
• Performing unit and system testing to validate the output of the analytic procedures against expected results.
Learn more about how we work: https://pwc.to/how-we-work
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
For positions in California, Colorado, Hawaii, Nevada, New York State, or Washington State, or for opportunities that will report to a supervisor, office or other work site in New York State, please visit the following link for pay range information: https://pwc.to/payrange-v1-productstechmanager
