IN-AssociateâGenAI -Risk Analyticsâ Advisory- Pune
IN-AssociateâGenAI -Risk Analyticsâ Advisory- Pune
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
RiskManagement Level
AssociateJob Description & Summary
At PwC our people in audit and assurance focus on providing independent and objective assessments of financial statements internal controls and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.Those in internal audit at PwC help build optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation co-sourcing outsourcing and managed services using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise in areas like cyber forensics and compliance to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption and obtain confidence to take risks to power growth.
Job Description & Summary
We are looking for a skilled Azure Data Engineer to join our Data Analytics (DA) team. The ideal candidate will have a strong understanding of Azure technologies and components along with the ability to architect web applications on the Azure framework. As part of the team you will be responsible for end-to-end implementation projects utilizing GenAI-based models and frameworks contributing to our innovative data-driven solutions.
Responsibilities:
Architecture & Design: Design and architect web applications on the Azure platform ensuring scalability reliability and performance.
End-to-End Implementation: Lead the implementation of data solutions from ingestion to visualization leveraging GenAI-based models and frameworks to drive analytics initiatives.
Development & Deployment: Write clean maintainable code in Python Pyspark and deploy applications and services on Azure using best practices.
Data Engineering: Build robust data pipelines and workflows to automate data processing and ensure seamless integration across various data sources.
Collaboration: Work closely with cross-functional teams including data scientists product managers and business analysts to understand data requirements and develop effective solutions.
Optimization: Optimize data processes and pipelines to improve performance and reduce costs utilizing services within the Azure ecosystem.
Documentation & Reporting: Document architecture development processes and technical specifications; provide regular updates to stakeholders.
Technical Skills and Requirements:
Azure Expertise: Strong knowledge of Azure components such as Azure Data Lake Azure Databricks Azure SQL Database Azure Storage and Azure Functions among others.
Programming Languages: Proficient in Python and Pyspark for data processing scripting and integration tasks.
Big Data Technologies: Familiarity with big data tools and frameworks especially Hadoop and experience with data engineering concepts.
Databricks: Experience using Azure Databricks for building scalable and efficient data pipelines.
Database Management: Strong SQL skills for data querying manipulation and management.
Data Visualization (if necessary): Basic knowledge of Power BI or similar tools for creating interactive reports and dashboards.
Cloud Understanding: Familiarity with AWS is a plus enabling cross-platform integration or migration tasks.
Mandatory Skill Sets:
o As above
Preferred Skill Sets:
As above
Years of Experience:
3 to 8 years of professional experience in data engineering with a focus on Azure-based solutions and web application architecture
Education Qualification:
o Bachelors degree () or Masters degree ( MCA) in Economics Computer Science Information Technology Mathematics or Statistics.
o A background in the Finance domain is preferred.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Generative AIOptional Skills
Accepting Feedback Accepting Feedback Accounting and Financial Reporting Standards Active Listening Artificial Intelligence (AI) Platform Auditing Auditing Methodologies Business Process Improvement Communication Compliance Auditing Corporate Governance Data Analysis and Interpretation Data Ingestion Data Modeling Data Quality Data Security Data Transformation Data Visualization Emotional Regulation Empathy Financial Accounting Financial Audit Financial Reporting Financial Statement Analysis Generally Accepted Accounting Principles (GAAP) 19 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
Employment Type
Full-Time
