The Role
Develop scalable batch and streaming data pipelines using Python and GCP. Build BigQuery and Dataform transformation workflows, event-driven solutions with Pub/Sub and serverless services, and data platforms using GCS and Cloud Spanner. Provision infrastructure with Terraform, manage GitLab CI/CD pipelines, containerize workloads, implement testing with pytest, and support monitoring and observability. The role requires strong data engineering, cloud architecture, and Google Cloud development expertise.
Summary Generated by Built In
Project Role : Custom Software Engineer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Google Cloud Platform Architecture
Good to have skills : Google BigQuery
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Key Responsibilities
Data Pipeline Development
Design and implement robust, scalable batch and streaming data pipelines using Python and GCP services.
Build and maintain data transformation workflows in Dataform (SQLX) integrated with BigQuery.
Develop event-driven and real-time data processing solutions using Pub/Sub and Cloud Functions / Cloud Run.
Manage large-scale structured and unstructured data stored in GCS, BigQuery, and Cloud Spanner.
Python & Google SDK
Write clean, well-structured Python code leveraging GCP client libraries (google-cloud-bigquery, google-cloud-storage, google-cloud-pubsub, google-cloud-spanner, etc.).
Develop reusable Python modules, utilities, and SDKs for internal data platform tooling.
Ensure all code meets quality standards through thorough unit testing with pytest and code reviews.
Infrastructure & DevOps
Provision and manage GCP infrastructure using Terraform, following infrastructure-as-code (IaC) best practices.
Maintain CI/CD pipelines in GitLab for automated testing, linting, and deployment of data workloads.
Understanding of monitoring, alerting, and observability for data pipelines and GCP resources.
Manage containerised workloads on Cloud Run, including Dockerfiles and container registries.
Skills
5+ years of experience in data engineering with at least 2 years on GCP.
Strong Python programming skills — clean code, OOP, packaging, and performance optimization.
Hands-on experience with BigQuery: query optimization, partitioning, clustering, and data modelling.
Experience with Pub/Sub for event-driven architectures and streaming ingestion.
Proficiency in Cloud Run and/or Cloud Functions for serverless and containerized workloads.
Experience writing unit tests with pytest — mocking, fixtures, coverage reporting.
Hands-on Terraform experience for GCP resource provisioning (projects, IAM, networking, data services).
Experience with GitLab CI/CD — pipeline authoring, environment management, secrets handling.
Solid understanding of GCS for data lake patterns — file formats (Parquet, Avro, JSON), lifecycle policies.
Nice to Have
Experience with Dataform for SQL-based transformation pipelines in BigQuery.
Familiarity with Cloud Spanner for globally distributed relational workloads.
Knowledge of data mesh or data lakehouse architecture patterns.
Knowledge/Experience with Apache Beam / Dataflow for large-scale streaming or batch processing.
GCP Professional Data Engineer or Cloud Architect certification.
Familiarity with Apache Airflow / Cloud Composer, or similar orchestration tools.
Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Google Cloud Platform Architecture
Good to have skills : Google BigQuery
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Key Responsibilities
Data Pipeline Development
Design and implement robust, scalable batch and streaming data pipelines using Python and GCP services.
Build and maintain data transformation workflows in Dataform (SQLX) integrated with BigQuery.
Develop event-driven and real-time data processing solutions using Pub/Sub and Cloud Functions / Cloud Run.
Manage large-scale structured and unstructured data stored in GCS, BigQuery, and Cloud Spanner.
Python & Google SDK
Write clean, well-structured Python code leveraging GCP client libraries (google-cloud-bigquery, google-cloud-storage, google-cloud-pubsub, google-cloud-spanner, etc.).
Develop reusable Python modules, utilities, and SDKs for internal data platform tooling.
Ensure all code meets quality standards through thorough unit testing with pytest and code reviews.
Infrastructure & DevOps
Provision and manage GCP infrastructure using Terraform, following infrastructure-as-code (IaC) best practices.
Maintain CI/CD pipelines in GitLab for automated testing, linting, and deployment of data workloads.
Understanding of monitoring, alerting, and observability for data pipelines and GCP resources.
Manage containerised workloads on Cloud Run, including Dockerfiles and container registries.
Skills
5+ years of experience in data engineering with at least 2 years on GCP.
Strong Python programming skills — clean code, OOP, packaging, and performance optimization.
Hands-on experience with BigQuery: query optimization, partitioning, clustering, and data modelling.
Experience with Pub/Sub for event-driven architectures and streaming ingestion.
Proficiency in Cloud Run and/or Cloud Functions for serverless and containerized workloads.
Experience writing unit tests with pytest — mocking, fixtures, coverage reporting.
Hands-on Terraform experience for GCP resource provisioning (projects, IAM, networking, data services).
Experience with GitLab CI/CD — pipeline authoring, environment management, secrets handling.
Solid understanding of GCS for data lake patterns — file formats (Parquet, Avro, JSON), lifecycle policies.
Nice to Have
Experience with Dataform for SQL-based transformation pipelines in BigQuery.
Familiarity with Cloud Spanner for globally distributed relational workloads.
Knowledge of data mesh or data lakehouse architecture patterns.
Knowledge/Experience with Apache Beam / Dataflow for large-scale streaming or batch processing.
GCP Professional Data Engineer or Cloud Architect certification.
Familiarity with Apache Airflow / Cloud Composer, or similar orchestration tools.
Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
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.
Skills Required
- At least 3 years of experience in Google Cloud Platform architecture
- At least 3 years of professional experience
- 15 years of full-time education
- 5 or more years of data engineering experience
- At least 2 years of Google Cloud Platform experience
- Strong Python programming, object-oriented programming, packaging, and performance optimization skills
- Hands-on BigQuery experience, including query optimization, partitioning, clustering, and data modeling
- Experience with Pub/Sub for event-driven architectures and streaming ingestion
- Proficiency with Cloud Run and/or Cloud Functions
- Experience writing unit tests with pytest
- Hands-on Terraform experience for GCP resource provisioning
- Experience with GitLab CI/CD
- Understanding of Google Cloud Storage data lake patterns and file formats
- Experience with Dataform for SQL-based BigQuery transformation pipelines
- Familiarity with Cloud Spanner
- Knowledge of data mesh or data lakehouse architecture patterns
- Knowledge or experience with Apache Beam or Dataflow
- GCP Professional Data Engineer or Cloud Architect certification
- Familiarity with Apache Airflow, Cloud Composer, or similar orchestration tools
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
