Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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.

*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Responsibilities:  Design and implement highly available and scalable Azure cloud

data solutions that meet business requirements.
 Collaborate with cross-functional teams to design and implement
solutions that meet business requirements.
 Participates in the testing process through test review and
analysis.
 Developing and maintaining data lake and data warehouse
schematics, layouts, architectures and relational/non-relational
databases for data access and Advanced Analytics.
Required Qualifications:
 5-8 years of experience as an Azure data engineer
 Strong experience with Azure cloud technologies say- Azure Data
Bricks, Lake house architecture, DataLake, Cosmos DB, Eventhub,
Servicebus, Topic, blob storages, azure functions, AKS, key Vault,
 Experience with data transformation and manipulation using
Azure Databricks or similar tools
 Solid scripting experience with Python, Pyspark
 Experience with streaming data platforms – Kafka
 Good working knowledge with Azure Infrastructure
 Experience on data integrations with API's.
 Experience working in an Agile development environment.
 Working knowledge of CI/CD tools and concepts - Azure
Pipelines, Github actions &Workflow,
 Architect data ingestion solutions such as ETL, ELT’s on a wide set
of data storage solutions.
 Independent and able to manage and prioritize workload.
 Ability to guide or lead junior resources to get desired project
results.
 Advanced troubleshooting skills to drive to root cause
 Ability to manage ambiguity and solve undefined problems

Mandatory skill sets:

 Strong experience with Azure cloud technologies say- Azure Data
Bricks, Lake house architecture, DataLake, Cosmos DB, Eventhub,
Servicebus, Topic, blob storages, azure functions, AKS, key Vault
 Solid scripting experience with Python, Pyspark

Preferred skill sets:

 Good working knowledge with Azure Infrastructure.

Years of experience required:

5 to 8 years

Education qualification:

 Bachelor’s degree in computer science, Applied Mathematics,

Data Science, or Machine Learning.

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

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Android Debug Bridge (ADB), Microsoft Azure, Python (Programming Language)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more}

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