IN-Senior Associate - Gen AI-Risk Analytics-Advisory_Kolkata

Advisory

Not Applicable

Risk

Senior Associate

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.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

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:

gen AI

Preferred Skill Sets:

Gen AI

Years of Experience Required:

• 3 to 8 years of professional experience in data engineering, with a focus on Azure-based solutions and web application architecture
  
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Education Qualification:

o Bachelor’s degree (B.Tech) or Master’s degree (M.Tech, MCA) in Economics, Computer Science, Information Technology, Mathematics, or Statistics.

o A background in the Finance domain is preferred.

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration

Degrees/Field of Study preferred:

Java

Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting, Financial Audit {+ 24 more}

Not Specified

No

No