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Salary
≈ $27k – $63k per year (Estimated)
Location
In office (Navi Mumbai)
Seniority
Staff · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 1, 2026. Accenture scores A on the Alion truth index.

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Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.
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 BigQuery

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 BigQuery 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 BigQuery.

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 BigQuery 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 atwww.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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. 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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