Senior Associate-Senior Azure Data Engineer

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.

Job Description

PwC
Confidential

Page 2 of 2

Senior Azure Data Engineer
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.
Education
 Bachelor’s degree in computer science, Applied Mathematics, Data Science, or Machine
Learning.
Required Qualifications:
 6-12 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 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