Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior Associate & 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 Firm's code of conduct, and independence requirements.

Google Cloud Data EngineerExperience: Sr. Associate (5+ Years)Minimum Degree Required: Bachelor's degree in EngineeringCertification(s) Preferred: Google Cloud certifications (Google Cloud Data Engineer is preferred)A career in our cloud practice, within Cloud and Digital services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google cloud platforms that bring new and innovative services to some of the largest companies. We help our clients adopt the cloud to transform Information Technology, scale and streamline operations and create new cloud based businesses through our strong alliances. Youll be at the forefront of helping organizations around the globe adopt innovative technology solutions that optimize business processes or enable scalable technology. Our team helps organizations transform their IT infrastructure, modernize applications and data management to help shape the future of business. As part of the team, youll focus on the google cloud design, architecture, cloud native application development, application modernization, data warehouse, data management and industry solutions to deliver innovation for our clients.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 a purpose-led and values-driven leader at every level. 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
PwC Professional skills and responsibilities for this management level include but are not limited toAs a Sr. Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.Develop new skills outside of comfort zone.Act to resolve issues which prevent the team working effectively.Coach others recognise their strengths and encourage them to take ownership of their personal development.Analyze 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.Use data and insights to inform conclusions and support decision-making.Develop a point of view on key global trends, and how they impact clients.Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.Simplify complex messages, highlighting and summarizing key points.Uphold the firm's code of ethics and business conduct.Preferred Knowledge/Skills5+ years of experience in data engineering or architecture with an emphasis on data analytics and reportingExperience in using GCP services to analyze data, build data models and generate visualizations5+ years of experience in design and development of large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM3+ year of experience in big data technologies and tools such as Spark/PySpark, Hadoop, Hive, KafkaExperience building data processing pipelines to integrate large datasets from multiple sources and formatsExperience designing and developing data pipelines from ingestion to consumption within big data architecture using Python/Java/SQL etc.Experience in designing and implementing solutions across various Cloud services such as GCE, GKE, cloud run, BigQuery, Dataproc, Dataflow, Dataplex, CloudSQL, Cloudspanner, Looker etc.Experience with building data pipelines in streaming and batch modeExperience with database management, migration and transformation to cloud native DBs like Cloud SQL, Spanner, etc.Implementing cloud data solutions in the context of business applications, cost optimization, clients strategic needs and future growth goals as it relates to becoming a xe2x80x98data driven organizationUnderstanding of emerging technologies and latest cloud providers (GCP, Azure & AWS) services & solutionsUse an analytical and data driven approach to drive a deep understanding of fast changing businessExperience in development using message queues (cloud pub sub), stream processing, highly available and fault tolerant techniquesExperience in roles conducting requirements gathering, writing user stories and creating designExpert level skills in writing and optimizing SQLGood understanding of data warehousing concepts, architectural best practices, design patterns and performance tuningProficiency in using GCP SDKs for interacting with native servicesExperience with Git and CI/CD pipelinesExcellent communication skills with the ability to influence client business and IT teamsAbility to work independently and across multiple teamsDeveloping thought leadership materials and being recognized in the Information Technology industry as a credible participant in the digital and cloud dialogueEducation (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 SkillsOptional 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 Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date

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