Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As an Oracle consulting generalist at PwC, you will possess a broad range of consulting skills and experience across various Oracle applications. You will provide consulting services to clients, analysing their needs, implementing software solutions, and offering training and support for effective utilisation of Oracle applications. Your versatile knowledge will allow you to assist clients in optimising operational efficiency and achieving 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

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.

Responsibilities

• Pipeline Development: Build and maintain scalable, robust ETL/ELT data pipelines using AWS Glue, Lambda, and Step Functions.

• Data Architecture & Modeling: Design efficient data models and structures for Data Warehouses (Amazon Redshift) and Data Lakes (Amazon S3).

• Real-time Processing: Implement streaming analytics using technologies like Amazon Kinesis.

• Cloud Infrastructure Management: Utilize AWS services such as EMR, Athena, and AppFlow to manage data infrastructure.

• Data Optimization & Quality: Ensure high performance, cost-effective solutions, and data integrity through monitoring and validation.

• Collaboration: Work with data scientists and analysts to support AI/ML workloads (e.g., using SageMaker or vector databases like OpenSearch).

• Multi Recruit +4

• Required Technical Skills & Qualifications

• Cloud Proficiency: Hands-on experience with AWS cloud technologies (S3, Redshift, Glue, Kinesis).

• Languages: Strong knowledge of Python (or Scala/Java) and SQL.

• Data Engineering Fundamentals: Strong background in data modeling, database design (SQL and NoSQL), and data warehousing concepts.

• Big Data & ETL: Experience with Hadoop/Spark frameworks and handling large-scale datasets.

• DevOps/Security: Experience with CI/CD tools, containerization (Docker/Kubernetes), and AWS data security/governance.

Mandatory Skill SetsAWS

Preferred skill setsAWS

Years of Experience required2 To 7

Education Qualification:B.TECH

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Powercloud Platform

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

March 26, 2026