Job Description

Line of Service Advisory

Industry/Sector FS X-Sector

Specialism Data, Analytics & AI

Management Level Senior Associate

& 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.

Azure Data Engineer JD:
We are looking for a suitable candidate for the opening of the Azure Data
Engineer role preferably with exposure in the Banking and Financial Services domain and
holds relevant experience of 4-6 years. The candidate should be willing to take up the role
of Senior Consultant/Consultant in organization based on overall experience.
Key Responsibilities:
\xef\x82\xb7 3+ years of experience in Azure cloud infrastructure for data services.
\xef\x82\xb7 Design, develop, deploy and manage/maintain Data Management Solutions.
\xef\x82\xb7 Experience in leading development of Data and Analytics products, from
Requirement Gathering State to Driving User Adoption
\xef\x82\xb7 Hands-on experience engineering, deploying, and running cloud solutions on Azure
services like Azure SQL, HD Insight, Azure Data Lake Storage, Stream Analytics,
Azure Data Factory, Synapse, CosmosDB , Azure databricks, Azure Analysis
Services, Power BI Services.
\xef\x82\xb7 Strong understanding of Microsoft SQL Server, T-SQL, Stored Procedures, Views,
and Functions
\xef\x82\xb7 Expertise in query construction, including writing and optimizing complex SQL
queries that contain sub queries, joins, and derived table
\xef\x82\xb7 Ability to acquire specialized domain knowledge required to be more effective in all
work activities
\xef\x82\xb7 Strong understanding of BI & Data-warehousing concepts are must.
\xef\x82\xb7 Microsoft Azure Data engineer certified candidates are preferred
\xef\x82\xb7 Working experience on Agile & Scrum methods
\xef\x82\xb7 Strong problem-solving skills, troubleshooting, and root cause analysis
\xef\x82\xb7 Ability to excel in a collaborative and distributed team environment
\xef\x82\xb7 Ability to work with a minimal amount of direction while being pro-active in keeping
their management informed of project related issues

Mandatory Skills: Azure
Preferred Skills: Azure
Years of Experience: 4-7
Qualification: BTech

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 Microsoft Azure

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

PwC