PwC Hadoop Architect Manager in Tampa, Florida
A career in our New Technologies practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritise emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation.
Our team helps organisations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritising emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments.
As a Manager, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:
Proactively assist in the management of a portfolio of clients, while reporting to Senior Managers and above
Be involved in the financial management of clients
Be actively involved in business development activities to help identify and research opportunities on new/existing clients
Contribute to the development of your own and team’s technical acumen
Develop strategies to solve complex technical challenges
Assist in the management and delivering of large projects
Train, coach, and supervise staff
Keep up to date with local and national business and economic issues
Continue to develop internal relationships and your PwC brand
We are seeking an experienced talented and passionate Hadoop / Spark / Big Data software engineers with deep understanding of large scale distributed data processing applications and Java technologies to join our Assurance Innovation team.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
Minimum Years of Experience :
Preferred Qualifications :
Degree Preferred :
Preferred Fields of Study :
Analytics, Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering & Accounting, Management Information Systems, Mathematics
Preferred Knowledge/Skills :
Demonstrates thorough knowledge and/or a proven record of success in the following areas:
Administer ELT and ETL solutions focused on moving data from highly diverse data landscape into a centralized data lake;
Performing Enterprise Data Lake administration, application scaling, performance evaluation, and architecture suggestions;
Proven experience in administering Big Data Pipelines in a Hadoop Ecosystem using Kafka, Hive, Hive w/Tez, HDFS, HBase, and Spark on Yarn (Hortonworks HDP preferred);
Proved experience in attribute-based security systems. Atlas/Ranger, Colibra, etc.;
Ensure scalability and high availability, fault tolerance, and elasticity within big data ecosystem;
Experience managing a Data Lake using either Hortonworks HDP, Cloudera or AWS EMR/S3;
Ninja level understanding of Data Management, Data Lakes, Data Warehousing, IaaS to SaaS in essence the complete stack;
Hands on with HDFS, Zookeeper,Ambari, Ranger, Kerberos, Apache NiFI Data Pipelines, Managing cost/elasticity on Cloud;
Data lifecycle manager a product that hortonworks we have them implementing it.
Applying full stack development with comfort and familiarity of continuous integration tooling such as Docker, Jenkins, Chef, and Puppet.
Proven extensive abilities and/or a proven record of success in the following areas, preferably for the US risk assurance practice of a global network of professional services consulting firms:
Creating physical architecture documentation, assisting in project planning, and leading staff in the operations of complex systems;
Building and orchestrating multiple clusters across a distributed enterprise cloud architecture built for scalability and performance;
Experience in Agile development including Scrum and other lean techniques;
Experience with performance optimization for Spark & Hive SQL Workloads;
Understanding of “Build, Ship, Monitor” philosophy.
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.
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.