IN_Manager_GCP Data Engineer_Data and Analytics_Advisory_Mumbai

Overview

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Manager

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 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….

Responsibilities:

· Designing, building and deploying cloud solution for enterprise applications, with expertise in Cloud Platform Engineering.  · -Expertise in application migration projects including optimizing technical reliability and improving application performance  · -Good understanding of cloud security frameworks and cloud Security standards  · -Solid knowledge and extensive experience of GCP and its cloud services.  · -Experience with GCP services as Compute Engine, Dataproc, Dataflow, Big Query, Secret Manager, Kubernetes Engine and Cloud Functions.  · Experiencing in Google storage products like Cloud Storage, Persistent Disk, Nearline, Coldline and Cloud Filestore 

Mandatory skill sets:

· Experience in Database products like Datastore, Cloud SQL, Cloud Spanner & Cloud Bigtable  · -Experience with implementing containers using cloud native container orchestrators in GCP  · Strong cloud programming skill with experience in API and Cloud Functions development using Python  · Hands-on experience with enterprise config & DevOps tools including Ansible, BitBucket, Git, Jira, and Confluence. 

· Strong knowledge of cloud Security practices and Cloud IAM Policy preparation for GCP  · Knowledge and experience in API development, AI/ML, Data Lake, Data Analytics, Cloud Monitoring tool like Stackdriver 

Preferred skill sets:

· Ability to participate in fast-paced DevOps and System Engineering teams within Scrum agile processes  · Should have Understanding of data modelling, Data warehousing concepts  · Understand the current application infrastructure and suggest changes to it

Years of experience required:

7 – 10 yrs

Education qualification:

Btech/MBA/MCA

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Amazon Web Services (AWS)

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 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