IN-Senior Associate _Data Engineer_ Emerging Technologies_ Advisory_ Bengaluru

8 Months ago • 4-8 Years • Data Analyst

Job Summary

Job Description

Design, implement, and manage data architecture for advanced analytics and AI initiatives. Work closely with cross-functional teams to ensure data solutions are scalable, reliable, and meet business needs. Strong experience with Python, Spark, Azure Data Services, SQL, and NoSQL required. Experience in presales and data pipeline development is a plus.
Must have:
  • Python, Spark
  • Azure Data Services
  • SQL, NoSQL
  • Presales experience
Good to have:
  • AI/ML
  • Kubernetes
  • Data pipeline
  • Advanced analytics
Perks:
  • Vibrant community
  • Inclusive benefits

Job Details

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Senior Associate

Job Description & Summary

A career in our Technology Consulting practice, within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world’s largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage.

As a member of the team, you’ll work with clients to define their vision and plan how to get there. We deliver the technological solutions organisations need to compete and grow and build a lasting legacy of improvement and performance, partnering with best in class technologies and solution sets. In joining, you’ll help our clients understand and evolve the way they align Information Technology with their business strategy, create integrated end to end solutions, and use enterprise applications to solve complex business problems.

*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 in our New Technologies practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritize emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation. Our team helps organizations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritizing emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments.

Responsibilities:

  • As a Data Engineer, you will play a crucial role in designing, implementing, and managing our data architecture.
  • You'll work closely with cross-functional teams to ensure our data solutions are scalable, reliable, and can support our advanced analytics and AI initiatives.
  • Design and implement robust data pipelines for various data sources and formats. Develop and manage data architecture that supports complex data analysis and ML model deployment.
  • Collaborate with AI/ML teams to ensure data solutions are optimized for advanced analytics.
  • Lead presales discussions, demonstrating the value of our data engineering capabilities to prospective clients. Stay abreast of emerging technologies and trends in data engineering to continuously innovate our practices.

Mandatory skill sets:

Python, Spark, Azure Data Services, presales, SQL and NoSQL

Preferred skill sets:

AI/ML, Kubernetes

Years of experience required:

4 to 8 years

Education qualification:

B.E/B.Tech

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

Python (Programming Language)

Optional Skills

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

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About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

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