Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data Analytics & AI
Management Level
Senior Associate
Job Description & Summary
At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.
Focused on relationships you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations you are growing your personal brand deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients and to deliver quality. Embracing increased ambiguity you are comfortable when the path forward isnt clear you ask questions and you use these moments as opportunities to grow.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives needs and feelings of others.
- Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.
- Experience working with latest MuleSoft versions. (Mule 4 preferred).
- Experience in designing RAML/OAS in the Design Center.
- Develop integration solutions using MuleSoft Anypoint Platform including creating APIs connectors data mappings and orchestrations.
- Develop flows using Anypoint studio with leading industry standards. Follow the API led connectivity approach.
- Should be able to work with responses of various types including XML JSON flat file etc.
- Should be able to use best fit Integration patterns according to the use case.
- Experience with Source control systems (SVN / GIT).
- Experience with Waterfall and Agile SDLC models (SCRUM).
- Experience with SOAP and RESTful webservices is a must.
- Should be able to work with all platform features including API Manager Runtime Manager and Access Management.
- Should be able to fine tune performance in case of bottlenecks.
- Should be able to monitor applications core/vcore/memory usage.
- Should be able to develop reusable assets as deemed fit.
- Should be able to transform data from one format to another using dataweave.
- Should be able to design schemas for App/API communication.
- Should have exposure to Messaging Queue(s) such as ActiveMQ Rabbit MQ Kafka Anypoint MQ etc.
- Should have a good understanding of Data Quality processes methods and project lifecycle.
- Should have experience in writing SQL queries.
- Should have experience in working on technical design documents (HLD/LLD).
- Should be proactive in communications and lead by self.
- Exposure to multiple connectors/systems such as Salesforce SAP Netsuite etc.
- Write Munits for all the flows across various scenarios. Prepare the unit test document.
- Perform integration testing and prepare the End-to-end testing document.
- Should have development experience with both real time event driven and batch integrations
- Good to have knowledge on Java microservices Spring and Hibernate frameworks
- Should follow the best coding standards and processes defined for the project. Recommend improvements to the defined processes if any.
- Follow the defined code migration strategy to higher environments.
- Provide technical leadership and guidance to junior developers on best practices for MuleSoft development and integration design.
- Participate in code reviews ensuring adherence to coding standards best practices and established guidelines.
- Good to have knowledge of AI based integration capabilities
Preferred Knowledge
- Experience / Knowledge on other Integration tools such Boomi Tibco is an added advantage.
- Cloud data technologies such as AWS Azure GCP Databases
- Worked in Offshore / Onsite Engagements
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline 38 more
Desired Languages (If blank desired languages not specified)
Travel Requirements
Up to 20%
Available for Work Visa Sponsorship
No
Government Clearance Required
No
Job Posting End Date
Required Experience:
Senior IC