11 days old

PwC Labs - Hadoop Architect Manager - Data Lab

PwC
Tampa, FL 33607
Apply Now
Apply on the Company Site

PwC Labs is focused on standardizing, automating, delivering tools and processes and exploring emerging technologies that drive efficiency and enable our people to reimagine the possible. Process improvement, transformation, effective use of innovative technology and data & analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value for our firm.


Responsibilities

As a Manager, youll 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 teams 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 Data Labs team.

Job Requirements and Preferences: 

Basic Qualifications: 

Minimum Degree Required: 
Bachelor Degree

Additional Educational Requirements: 

In lieu of a Bachelor Degree, 12 years of professional experience involving technology-focused process improvements, transformations, and/or system implementations.

Minimum Years of Experience: 
5 year(s) 

Preferred Qualifications: 

Degree Preferred: 
Master Degree

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:

  • Administering 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;
  • Administering Big Data Pipelines in a Hadoop Ecosystem using Kafka, Hive, Hive w/Tez, HDFS, HBase, and Spark on Yarn (Hortonworks HDP preferred);
  • Performing in attribute-based security systems such as Atlas/Ranger, Colibra, etc.;
  • Establishing scalability and high availability, fault tolerance, and elasticity within big data ecosystem;
  • Managing a Data Lake using either Hortonworks HDP, Cloudera or AWS EMR/S3;
  • Understanding Data Management, Data Lakes, Data Warehousing, IaaS to SaaS in essence the complete stack, as well as performing HDFS, Zookeeper, Ambari, Ranger, Kerberos, Apache NiFI Data Pipelines, Managing cost/elasticity on Cloud;
  • Applying full stack development with comfort and familiarity of continuous integration tooling such as Docker, Jenkins, Chef, and Puppet. Skills Preferred:
  • Administering ELT and ETL solution 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;
  • Administering Big Data Pipelines in a Hadoop Ecosystem using Kafka, Hive, Hive w/Tez, HDFS, HBase, and Spark on Yarn (Hortonworks HDP preferred);
  • Managing scalability and high availability, fault tolerance, and elasticity within big data ecosystem;
  • Understanding intimately 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,
  • 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;
  • Executing in Agile development including Scrum and other lean techniques, as well as 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.
Posted: 2019-07-08 Expires: 2019-08-07

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

PwC Labs - Hadoop Architect Manager - Data Lab

PwC
Tampa, FL 33607

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast