IN_Senior Associate_ AWS Devops Engineer- Data and Analytics_Advisory_Pan India

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

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: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

· Design, develop, and maintain robust data pipelines using AWS services such as Glue, Lambda, Redshift, and S3. · Implement ETL/ELT processes using PySpark and Airflow to ingest, transform, and load data from various sources including IoT devices and energy systems. · Collaborate with cross-functional teams to integrate data from power distribution, control systems, and monitoring platforms. · Ensure data quality, integrity, and security across all data platforms. · Optimize data workflows for performance, scalability, and cost-efficiency. · Support real-time and batch data processing for analytics and reporting on energy usage, system health, and predictive maintenance. · Maintain documentation for data architecture, processes, and best practices.

Mandatory skill sets:

· 3+ years of experience in data engineering with a strong focus on AWS technologies. · Proficiency in Python, SQL, PySpark, and data modeling. Hands-on experience with AWS services such as Glue, Re

Preferred skill sets:

Azure, Google Cloud

Years of experience required:

4-8 Years

Education qualification:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field

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

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date