#ACN I&P - GN - SONG - AI & Data - Marketing - MMM API - Consultant

Accenture PLC; Bengaluru; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

Accenture is seeking a Data Engineering Consultant - Python Backend API for PAN India to design, develop, and maintain scalable Python-based backend services and RESTful APIs powering data science products on Azure Cloud. You will implement automated testing, API versioning, and robust data access layers across PostgreSQL, MySQL, MongoDB, and Snowflake, ensuring production-grade reliability.

Collaborate with data scientists and ML engineers, build data ingestion pipelines on Azure, manage Git

Qualifications

• As a Data Engineering Consultant, design, develop, and maintain scalable Python-based backend services and RESTful APIs.
• Build automated testing suites with Pytest and ensure end-to-end API validation and reliability.
• Architect data access layers across PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, and Snowflake.
• Deploy and operate services on Azure Cloud and implement API versioning, authentication, and security best practices.
• Collaborate with data scientists and ML engineers to expose models via production APIs.

Responsibilities

• Design, develop, and maintain scalable RESTful APIs and backend microservices using Python and FastAPI.
• Integrate relational and NoSQL databases and Snowflake for high-throughput analytics.
• Build automated tests (unit/integration/api) and ensure code quality with pytest and mocking.
• Maintain test coverage, validate edge cases, and ensure API reliability across services.
• Collaborate with data scientists to expose models via production endpoints on Azure Web Apps and Cloud services.
• Develop data ingestion pipelines and ETL workflows on Azure for downstream analytics.
• Manage source control with Git, enforce branch strategies, code reviews, and CI/CD pipelines.
• Implement authentication, authorization, rate limiting, and API versioning.
• Define API design standards and documentation (OpenAPI/Swagger).
• Communicate architectural decisions to engineering and business stakeholders.

Skills

Python

FastAPI

RESTful API Development

API Testing & Automated Testing

SQL

NoSQL Databases

Snowflake

Azure Cloud

Git

Flask / Django REST Framework

Education

B.Tech/BE/ MSc (CS/Statistics/Data Science)

Tools

Spark / PySpark

Airflow

Docker

Kubernetes

GraphQL

MLflow

Pydantic

CI/CD

GCP / AWS

Job description

Job Title – Data Engineering Consultant - Python Backend API | S&C

Management Level : 09 – Consultant

Location: PAN India

Must have skills: Python, FastAPI, RESTful API Development, API Testing & Automated Testing (Pytest), SQL & NoSQL Databases, Snowflake, Azure Cloud (Azure Web Apps), Git, Flask / Django REST Framework

Good to have skills: Spark / PySpark, Airflow, Docker / Kubernetes, GraphQL, Data Pipeline Design, MLflow, Pydantic, CI/CD, GCP / AWS

Job Summary:

As an Engineering Consultant, you will design, develop, and maintain scalable Python-based backend services and RESTful APIs that power analytical and data science products. You will serve as the engineering backbone for decision science teams, translating complex data models and analytical outputs into robust, production-grade APIs and pipelines on Azure Cloud. A strong emphasis of this role is building reliable, well-tested systems — ensuring APIs are validated end-to-end through automated testing, with rigorous coverage of functionality, error handling, and integration across backend services.

Roles & Responsibilities:

• Design, develop, and maintain scalable RESTful APIs and backend microservices using Python and FastAPI to serve data science models, scoring engines, and analytical outputs.

• Architect and implement efficient data access layers integrating relational databases (PostgreSQL, MySQL), NoSQL stores (MongoDB, Redis, DynamoDB), and Snowflake for high-throughput analytical workloads.

• Build and own a comprehensive automated testing suite using Pytest — covering unit tests, integration tests, and API contract tests — with effective use of mocking, fixtures, and parametrization to validate functionality, reliability, error handling, and cross-service integration.

• Maintain high test coverage standards and enforce testing best practices across the team, including validation of edge cases, failure modes, and API response consistency.

• Collaborate with data scientists and ML engineers to expose trained models and optimization algorithms via production-ready API endpoints deployed on Azure Web Apps and Azure Cloud services.

• Build and manage data ingestion pipelines and ETL workflows on Azure that feed downstream analytical systems, dashboards, and decision science products.

• Manage source code and collaborate across teams using Git, enforcing branching strategies, code review practices, and version control standards.

• Implement authentication, authorization, rate limiting, and API versioning to ensure security, reliability, and backward compatibility across services.

• Define and enforce API design standards, documentation practices (OpenAPI / Swagger), and code quality benchmarks across the team.

• Communicate technical architecture decisions clearly to both engineering and non-technical stakeholders including data science leads and business owners.

Professional & Technical Skills:

• Must Have Skills: Advanced Python programming with strong command of FastAPI, including async programming, dependency injection, middleware design, and request/response modelling using Pydantic.

• Hands-on experience with API testing and automated unit/integration testing using Pytest — including effective use of mocking techniques (unittest.mock, pytest-mock), test coverage tooling (pytest-cov), and thorough validation of API functionality, reliability, error handling, and integration across backend services.

• Solid knowledge of relational and NoSQL database systems — schema design, query optimization, indexing strategies, and ORM usage (SQLAlchemy); hands-on experience with Snowflake for analytical data access.

• Hands-on experience deploying and operating services on Azure Cloud, including Azure Web Apps, Azure Functions, Azure SQL, Blob Storage, and Azure DevOps pipelines.

• Proficiency in Git for source control — branching strategies (GitFlow), pull request workflows, and collaborative development practices.

• Strong understanding of software engineering principles — REST API design, SOLID principles, 12-factor app methodology, and microservices architecture.

• Good to Have Skills: Experience with big data technologies (PySpark, Apache Kafka, Airflow), ML model serving frameworks (MLflow, BentoML), GraphQL APIs, data clean room technologies, and visualization integration (Tableau, Power BI, Looker Studio).

Additional Information:

The ideal candidate sits at the intersection of software engineering and decision science — equally comfortable architecting a low-latency FastAPI service and discussing model inference pipelines with a data scientist. You bring a disciplined approach to testing and code quality, a genuine interest in making analytical outputs production-ready and impactful, and a mindset geared toward building systems that drive measurable business decisions.

This position is based at all PAN India offices.

About Our Company | Accenture

Experience: Minimum 3 years of experience is required

Educational Qualification: B.Tech/BE/M.Sc. (Computer Science, Statistics, Mathematics, Data Science, or a related field)

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

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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.