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Associate

1 Month ago • 3-8 Years

About the job

Job Description

This Associate role requires 3+ years of IT infrastructure experience and 2+ years of client-facing work. Must have strong skills in GCP Data Engineering, SQL, Python, and experience with data warehousing and pipelines. Prior experience in virtualization and cloud migration is preferred.
Must have:
  • GCP Data Engineering
  • SQL
  • Python
  • Data Warehousing
Good to have:
  • Virtualization
  • Cloud Migration
  • Tableau
  • Qlik
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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

A career within Data and Analytics 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. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

. 3+ years direct experience working in IT Infrastructure
. 2+ years in a customer facing role working with enterprise clients.
. Experience with implementing and/or maintaining technical solutions in virtualized environments.
. Experience in design, architecture and implementation of Data warehouses, data pipelines and flows.
. Experience with developing software code in one or more languages such as Java and Python. Proficient with SQL
. Experience designing and deploying large scale distributed data processing systems with one or more technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.
. Customer facing migration experience, including service discovery, assessment,
planning, execution, and operations.
. Demonstrated excellent communication, presentation, and problem-solving skills.
. Mandatory Certifications required:
o Google Cloud Professional Data Engineer

Mandatory skill sets-GCP Data Engineering, SQL, Python
Preferred skill sets-GCP Data Engineering, SQL, Python
Year of experience required-4-8 years
Qualifications-B.E / B.TECH/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Python (Programming Language)

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

View Full Job Description

About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

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