IN_Associate 2_AWS Data Engineer_OC-Data & Analytics_Advisory_Bhubaneswar

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Associate

Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*Why PWCAt 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: A career within….

Responsibilities:

• Infrastructure Management: Design, deploy, and maintain scalable, reliable, and secure AWS cloud infrastructure.
• Automation: Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation.
• CI/CD Pipeline Development: Build and manage Continuous Integration/Continuous Delivery pipelines (e.g., Jenkins, AWS CodePipeline).
• Security & Optimization: Implement IAM roles, security groups, and encryption (KMS) while optimizing costs and performance.
• Troubleshooting: Resolve technical issues across cloud environments, including container services (ECS/EKS).
  

Mandatory skill sets:

AWS Glue (ETL, PySpark, Job Triggers, Workflows), S3 , Lamda , Athena

Preferred skill sets:

AWS Glue (ETL, PySpark, Job Triggers, Workflows), S3 , Lamda , Athena

Years of experience required:

2 to 10 years

Education qualification:

Graduate Engineer or Management Graduate

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Data Engineering

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Quality, Data Strategy + 22 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
April 1, 2026