IN Manager Sr Cloud Data Engineer Advisory Corporate Advisory Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*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: We are looking for a seasoned – Sr Cloud Data Engineer

Responsibilities:

· Have 3 to 4 years of experience of leading Data Engineer teams developing enterprise grade data processing pipelines on multi Clouds like GCP and AWS · Has led at least one project of medium to high complexity of migrating ETL pipelines and Data warehouses to cloud. · 3 to 5 years of latest experience should be with premium consulting companies · Indepth hands-on expertise with Google and AWS Cloud Platform services especially - BigQuery, Dataform, Dataplex , Redshift. · Exceptional communication skills to converse equally well with Data Engineers, Technology and Business leadership. · Ability to leverage knowledge on GCP to other cloud environments.

Mandatory skill sets:

(AWS, Azure, GCP) services such as GCP BigQuery, Dataform AWS Redshift, Python

Preferred skill sets:

Devops

Years of experience required:

10– 15 Years

Education qualification:

BE/B.Tech/MBA/MCA/M.Tech

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

Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AWS Devops, Microsoft Azure, Python (Programming Language)

Optional Skills

DevOps

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