Job highlights

- . Data Architecture: . Design,build and . management of . realtime . .,near . realtime . and batch data architectures that support threat detection,incident response and reporting through advanced analytics,machine . learning . and GenAI capabilities
- Degrees / Field of Study preferred: .
- Required Skills

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& Summary In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies

You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools

Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives

*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

"

About the role

As the Staff Data Platform Engineer in the Cyber Data Platform team, you will be key in designing, developing, and deploying a scalable data platform that empowers users to create advanced analytics, machine learning, and GenAI solutions to enhance our security defences

You will lead architectural decisions, guide technical direction, and mentor the engineering team to deliver high quality data services

Responsibilities

Technical Leadership: Take in charge of the design, development and delivery of cyber data platform solutions and provide technical guidance and mentorship across all teams of cyber data platform

Data Architecture: Design, build and management of realtime , near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities

Coding: Contribute to raising the quality bar of the teams codebase by producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code





Data Security and Compliance: Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations

Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components

You will need

Proven experience in leading the teams to deliver resilient systems and pro viding te chnical guidance for opt imal pr oduct solutions

Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery , with the goal of delivering a self-service data platform for users

Proficient in Python and SQL, with a solid grasp of architectural patterns, coding standards, code reviews, version control, and CI/CD practices

Expertise in ETL and ELT frameworks for large scale realtime and batch data processing, with hands-on experience in Kafka, Flink, Airflow and dbt as well as containerisation technologies like Docker and Kubernetes

Ability to provide explicit input, guide, opportunities to help engineers develop and advance

Knowledge of cybersecurity principles and practices

Mandatory Skill Sets:Databricks on Azure or GCP BigQuery, Python, SQL, Devops

Preferred Skill Sets:Gen AI

Years of experience required:4-7 yrs

Education Qualification:B E , B TECH , M E , M CA , M TECH

Education

Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:

Required Skills

SAP

📌 IN_Senior Associate_Gen AI_ Data and Analytics_Advisory (Bengaluru)
🏢 PwC Acceleration Centers in India
📍 Bengaluru