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Cloud Platform Engineer

Accenture

Cloud Platform Engineer

Accenture

·

On-site

·

Full-time

·

5d ago

Required Skills

SQL

Python

Project Role: Cloud Platform Engineer

Project Role Description: Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance.

Must have skills: Google Big Query

Good to have skills: Python (Programming Language), GCP Dataflow

Minimum 7.5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

We are seeking a highly skilled and experienced Senior Data Engineer to join our global agile team. In this role, you will design, develop, and optimize data solutions on Google Cloud Platform (GCP) to support enterprise-scale data initiatives. You will work closely with cross-functional teams to translate business requirements into robust, scalable, and secure data pipelines and models. This is an exciting opportunity to contribute to cutting-edge data engineering practices while mentoring junior team members and driving innovation in data solutions.

Key Responsibilities:

Act as a Subject Matter Expert (SME) in Google Big Query and related GCP services.
Collaborate with stakeholders to gather requirements and design end-to-end data solutions.
Develop and implement data integration pipelines for batch and streaming data using tools like Apache Beam (Google Dataflow), Google Cloud Functions, and Google Workflows.
Build and optimize semantic models and layers, such as LookerML or Power BI, to enable data visualization with KPIs and metrics.
Design and implement modern data architectures, including medallion architecture, star and snowflake schemas, and handling of slowly changing dimensions (Type I & II).
Ensure data quality, security, and governance by implementing best practices in IAM, encryption, tokenization, and native security features like row-level and column-level security in Google Big Query.
Monitor and optimize data pipelines for performance, cost efficiency, and scalability.
Mentor and guide junior team members to enhance their technical skills and knowledge.
Stay updated with emerging technologies and evaluate their potential to improve data engineering practices.

Required Skills and Experience:

Data Engineering experience 10+ yrs
Minimum 3-5 years of hands-on experience with Google Big Query and GCP services.
Strong expertise in SQL development, data modeling, and optimization techniques.
In-depth understanding of data warehousing concepts, medallion architecture, and best practices.
Experience in building and managing data pipelines for batch and streaming data.
Familiarity with tools like Google Composer, Google Dataplex, Google AutoDQ, Google Pub/Sub, Google Storage, and Google Looker Studio.
Strong understanding of data security practices, including IAM, encryption, and tokenization.
Proven ability to troubleshoot and optimize application performance.
Excellent problem-solving skills and ability to provide innovative solutions.
Proven experience in mentoring and leading teams.

Additional Information:

This position is based in our Mumbai office.
A full-time education of 15 years is required.
We are looking for candidates who are passionate about data engineering and have a proven track record of delivering high-quality, scalable data solutions.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

L2 · Security L2

0 reports

$84,500

total / year

Base

$33,800

Stock

$42,250

Bonus

$8,450

$59,150

$109,850

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study