Job Description

A career in our Analytics Technology practice, within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. Youll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, youll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.

Responsibilities

As a Senior Associate, 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 several clients, while reporting to Managers and above
* Train and lead staff
* Establish effective working relationships directly with clients
* Contribute to the development of your own and teams technical acumen
* Keep up to date with local and national business and economic issues
* Be actively involved in business development activities to help identify and research opportunities on new/existing clients
* Continue to develop internal relationships and your PwC brand

The candidate will use distributed computing technologies to process and analyze data at scale, identify and use appropriate big data tools to solve specific data processing problems, build pipelines to ingest and clean data using batch and real time frameworks, build infrastructural components and server applications to host machine learning models, explore and evaluate emerging frameworks, libraries and tech stacks, and configure, tune and monitor performance of big data systems.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Required Fields of Study:
Computer and Information Science, Management Information Systems

Additional Educational Requirements:

Other quantitative fields of study may be considered

Minimum Years of Experience:
3 year(s)

Preferred Qualifications:

Preferred Knowledge/Skills:

Demonstrates thorough knowledge and/or a proven record of success in the following areas:

- Cloud computing platforms such as AWS, GCP and Azure;

- Relational databases and writing SQL queries;

- Big data machine learning toolkits such as SparkML, messaging systems (Kafka) and NoSQL databases (Cassandra, HBase, MongoDB); and,

- Building data lakes.

Demonstrates thorough abilities and/or a proven record of success as a team leader including the following areas:

- Background in computer science and comfortable in programming in a variety of languages, including Java, Python, Scala;

- 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;

- Architecting highly scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, Pig, Hive, Presto, Spark, Drill, Sqoop and ETL frameworks;

- Utilizing Linux shell scripting and containerization technologies (Docker, Kubernetes); and,

- Leading teams in a dynamic work environment while managing stakeholder expectations and scope.