Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement 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
ConfidentialPage 2 of 2Senior Azure Data Engineer
Responsibilities:
\xef\x82\xb7 Design and implement highly available and scalable Azure cloud data solutions that meet
business requirements.
\xef\x82\xb7 Collaborate with cross-functional teams to design and implement solutions that meet
business requirements.
\xef\x82\xb7 Participates in the testing process through test review and analysis.
\xef\x82\xb7 Developing and maintaining data lake and data warehouse schematics, layouts,
architectures and relational/non-relational databases for data access and Advanced
Analytics.
Education
\xef\x82\xb7 Bachelor\xe2\x80\x99s degree in computer science, Applied Mathematics, Data Science, or Machine
Learning.
Required Qualifications:
\xef\x82\xb7 6-12 years of experience as an Azure data engineer
\xef\x82\xb7 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,
\xef\x82\xb7 Experience with data transformation and manipulation using Azure Databricks or similar tools
\xef\x82\xb7 Solid scripting experience with Python, Pyspark
\xef\x82\xb7 Experience with streaming data platforms \xe2\x80\x93 Kafka
\xef\x82\xb7 Good working knowledge with Azure Infrastructure
\xef\x82\xb7 Experience on data integrations with API\'s.
\xef\x82\xb7 Experience working in an Agile development environment.
\xef\x82\xb7 Working knowledge of CI/CD tools and concepts - Azure Pipelines, Github actions
&Workflow,
\xef\x82\xb7 Architect data ingestion solutions such as ETL, ELT\xe2\x80\x99s on a wide set of data storage
solutions.
\xef\x82\xb7 Independent and able to manage and prioritize workload.
\xef\x82\xb7 Ability to guide or lead junior resources to get desired project results.
\xef\x82\xb7 Advanced troubleshooting skills to drive to root cause
\xef\x82\xb7 Ability to manage ambiguity and solve undefined problemsMandatory 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\xe2\x80\x99s 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 EngineeringOptional SkillsDesired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date

PwC