PwC PwC Digital Products - Data Engineer - Senior Associate in Washington, District Of Columbia
Line of Service: Advisory
Specialty/Competency: Advisory - Other
Industry/Sector: Not Applicable
Time Type: Full time
Government Clearance Required: No
Available for Work Sponsorship: Yes
Travel Requirements: Up to 20%
A career in Products and Technology would provide you the opportunity to be part of an organization that is building a leading tech experience that solves big challenges for our firm and our clients. Our products and tech-driven solutions are how we move faster, cut through complexity and fuel growth. We start with the problem and solve it with experience and tech know-how. Our skilled technologists, data scientists, product managers and business strategists are passionate about using technology to accelerate change.Our external facing team leads the planning and design of the overall technical vision of our products and accelerators. They focus on understanding requirements from a business perspective to be validated through testing. This allows our team to deliver custom developed and packaged applications 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.
As a Senior Associate, 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:
Use feedback and reflection to develop self awareness, personal strengths and address development areas.
Delegate to others to provide stretch opportunities, coaching them to deliver results.
Demonstrate critical thinking and the ability to bring order to unstructured problems.
Use a broad range of tools and techniques to extract insights from current industry or sector trends.
Review your work and that of others for quality, accuracy and relevance.
Know how and when to use tools available for a given situation and can explain the reasons for this choice.
Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
Use straightforward communication, in a structured way, when influencing and connecting with others.
Able to read situations and modify behavior to build quality relationships.
Uphold the firm's code of ethics and business conduct.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
High School Diploma
Minimum Years of Experience :
Preferred Qualifications :
Degree Preferred :
Preferred Fields of Study :
Computer and Information Science, Computer Engineering, Computer Systems Analysis, Data Processing/Analytics/Science, Information Technology, Management Information Systems
Preferred Knowledge/Skills :
Demonstrates thorough abilities and/or a proven record of success as a team leader including the following areas:
Working with the lead data architect on research, design & enhancement of data services;
Working within Cloud computing platforms such as AWS, GCP and Azure;
Applying expertise with Data modeling, quality and Transformation;
Utilizing relational databases, SQL server and writing SQL queries;
Utilizing Big Data Machine Learning toolkits such as SparkML and NoSQL databases;
Working within Columnar databases such as Snowflake, Vertica;
Architecting highly scalable distributed data pipelines using open source tools and big data technologies such as Spark, PySpark, Sqoop and ETL frameworks;
Demonstrating a general understanding of Tableau, Alteryx;
Determining the appropriate software packages or modules to run, and how easily they can be modified;
Handling large scale structured and unstructured data from internal and third party sources; and,
Leading teams in a dynamic work environment while managing stakeholder expectations and scope.
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 based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryseniorassociate .