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PwC Cloud Data Engineering Lead in Dallas, Texas

Specialty/Competency: Cloud Computing & Networking

Industry/Sector: TMT X-Sector

Time Type: Full time

Travel Requirements: Up to 60%

PwC’s Cloud Computing and Networking practice helps our clients transform their business through innovative technology solutions and effective IT Service Management. Part of that journey includes helping our clients enable innovation, reinventing their customer experience, and exploring new markets.

You will be immersed in a variety of different projects, groups, and locations while getting inspired through your community to grow as an individual as well as a team. Our diverse client service teams encourages out-of-the-box thinking, problem solving, great team mentality and a curiosity for understanding the latest in technology.

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 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:

  • 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.

  • 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.

  • 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 summarising key points.

  • Uphold the firm's code of ethics and business conduct.

PwC's Cloud Engineering and Security Hub enables us to supercharge business transformation, powered by the cloud. The Hub combines deep cloud talent and business, industry, and technical specialization to deliver cloud-powered business outcomes. Our full-stack cloud engineering capabilities enhance our Cloud Transformation solutions, helping clients unlock the full potential of their IT strategy from App Migration & Modernization, Native Cloud development, through data transformation and beyond.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Minimum Years of Experience :

5 year(s)

Certification(s) Required :

1 or more architect or specialty level certifications from AWS, Azure, GCP

Preferred Qualifications :

Preferred Fields of Study :

Computer Engineering, Engineering, Statistics, Mathematics, Computer and Information Science, Operations Management/Research, Business Analytics, Data Processing/Analytics/Science, Analytics, Computer Systems Analysis

Certification(s) Preferred :

1 or more additional professional or specialty certifications from AWS, Azure, GCP

Preferred Knowledge/Skills :

Demonstrates extensive abilities and/or a proven record of success in the following areas:

  • Programming: Python, R, Java, JavaScript, C++, Unix, NodeJS, Angular, HTML;

  • Data Storage Technologies: SQL, NoSQL, Hadoop, cloud-based data solutions such as GCP BigQuery, and different storage formats (e.g. Parquet, etc.);

  • Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as AWS Glue or Databricks;

  • Machine Learning Libraries: Python (scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark MLlib;

  • Hardware: sensors, robotics, Raspberry Pis, GPU enabled machine learning, FPGAs, etc; and,

  • DevOps including Linux and Windows command line control, scripting, source code control (such as GitHub), and containers (including Docker, Kubernetes).

  • Current agile methodologies, specifically Scrum;

  • Java, Scala, Spring, Groovy, Maven, Gradle, SOAP and web services, REST APIs and open source software;

  • Statistical Analysis and Techniques;

  • Visualization techniques and tools, i.e. D3/HTML Visualizations, Tableau/Qlikview/Spotfire/etc, Advanced Excel/Access UI, etc.;

  • Advanced analytics techniques, regression, simulation, utilizing R/SAS, SPSS, Java, VBA, etc.; and,

  • Applicable sources of external, internal or new data sources, i.e. SQL, Oracle, NoSQL, Hadoop, MSFT Access, etc.

Demonstrates extensive abilities and/or a proven record of success in consulting within a professional services environment, emphasizing the leading of teams involved in full life-cycle software and/or multi-discipline development, including the following areas:

  • Using “Big Data” technologies and systems including HDFS/Hadoop, Spark, Hive, Snowflake, Columnar and noSQL environments;

  • Understanding of Kafka or Kinesis architecture and operations;

  • Defining and implementing sharding strategies and topic management;

  • Understanding Azure, AWS, and GCP services and offerings and use and deployment in SaaS offerings;

  • Designing event-driven architectures that appropriately leverage streaming and batch processing;

  • Partitioning, indices, and performance management for NoSQL and Columnar databases and data warehouses;

  • Supporting “hot” production client environments;

  • Understanding Multi-Tenant security and performance compartmentalization of environments and their requirements;

  • Understanding web-based systems architecture, service-based architecture including microservices, enterprise application architecture as well as experience managing expectations when balancing alternatives against business and financial constraints;

  • Fostering team commitment to tasks and influence key people inside and outside of the group;

  • Having a flexible communication style based on the audience (i.e., eliminating technical jargon when needed or deep diving into technical details with the development team);

  • Collaborating with cross-functional teams, building relationships and achieving results without a direct reporting relationship; and,

  • Grasping a range of functional and nonfunctional requirements to understand an application scope and define the right architecture including solution components and interactions.

For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisorymanager .

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.

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

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.

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Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19.

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