Job Description

Line of Service

Advisory
Industry/Sector

Not Applicable
Specialism

Data, Analytics & AI
Management Level

Manager
& 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.



PwC


Confidential


Page 2 of 2


Senior Azure Data Engineer


Responsibilities:
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Design and implement highly available and scalable Azure cloud data solutions that meet


business requirements.
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Collaborate with cross-functional teams to design and implement solutions that meet


business requirements.
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Participates in the testing process through test review and analysis.
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Developing and maintaining data lake and data warehouse schematics, layouts,


architectures and relational/non-relational databases for data access and Advanced


Analytics.


Education
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Bachelor's degree in computer science, Applied Mathematics, Data Science, or Machine


Learning.


Required Qualifications:
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6-12 years of experience as an Azure data engineer
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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,
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Experience with data transformation and manipulation using Azure Databricks or similar tools
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Solid scripting experience with Python, Pyspark
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Experience with streaming data platforms - Kafka
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Good working knowledge with Azure Infrastructure
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Experience on data integrations with API's.
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Experience working in an Agile development environment.
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Working knowledge of CI/CD tools and concepts - Azure Pipelines, Github actions


&Workflow,
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Architect data ingestion solutions such as ETL, ELT's on a wide set of data storage


solutions.
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Independent and able to manage and prioritize workload.
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Ability to guide or lead junior resources to get desired project results.
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Advanced troubleshooting skills to drive to root cause
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Ability to manage ambiguity and solve undefined problems


Mandatory Skill Set- Minimum 6years of experience in Azure Data engineering, Strong in Azure Data Technologies


Preferred Skill Set- Minimum 6years of experience in Azure Data engineering, Strong in Azure Data Technologies


Year of experience required- 6 to 12 years


Qualifications- 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:
Degrees/Field of Study preferred:
Certifications •(if blank, certifications not specified)•

Required Skills

Big Data Technologies, Data Engineering
Optional Skills

Desired Languages •(If blank, desired languages not specified)•

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date