Senior Software Engineer

Ford; India; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Ford is seeking a data engineering professional to design, build, and maintain scalable data pipelines and microservices on Google Cloud Platform. You will work on SOA-based architectures, enabling real-time and batch processing with BigQuery, Dataflow, and Dataproc.

The role requires strong Java, Python, and full-stack skills, plus experience with CI/CD and data governance. Collaboration across data architects and engineers is essential in a dynamic cloud environment.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Master’s degree or equivalent experience preferred.
• Experience with cloud data platforms and GCP.
• Strong understanding of SOA and microservices.

Responsibilities

• Design, build, and maintain scalable data pipelines and microservices on GCP for real-time and batch processing.
• Architect SOA and microservices-based data solutions to enable modular, flexible systems.
• Lead full-stack data integration to ensure robust data access and UI-driven exploration.
• Oversee data ingestion and integration from multiple sources, ensuring data quality and analytics readiness.
• Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions) to meet business needs.
• Implement data governance, access controls, and security best practices on cloud platforms.
• Monitor and optimize performance, scalability, and reliability of data pipelines and storage.
• Collaborate with data architects, software engineers, and cross-functional teams to define best practices and design patterns.
• Automate data platform processes to improve reliability and reduce manual intervention.

Skills

Java

JavaScript / Angular

Python

Spring Boot

React / Node.js

REST APIs

Unit testing

CI/CD

Terraform / IaC

Data governance

GitHub

Problem solving

Education

Bachelor’s degree in Computer Science / Data Engineering / Information Systems

Master’s degree or equivalent experience preferred

Tools

GCP

BigQuery

Dataflow

Dataproc

Apache Beam

Kafka

Job description

• Technical Skills:Proficient in Java, angular or any javascript technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like BigQuery, Dataflow, and Dataproc.
• Ability to leverage best in-class data platform technologies (Apache Beam, Kafka, …) to deliver platform features, and design & orchestrate platform services to deliver data platform capabilities.
• Service-Oriented Architecture and Microservices:Strong understanding of SOA, microservices, and their application within a cloud data platform context. Develop robust, scalable services using Java Spring Boot, Python, Angular, and GCP technologies.
• Full-Stack Development:Knowledge of front-end and back-end technologies, enabling collaboration on data access and visualization layers (e.g., React, Node.js).
• Design and develop RESTful APIs for seamless integration across platform services.
• Implement robust unit and functional tests to maintain high standards of test coverage and quality.
• Database Management:Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, as well as columnar databases like BigQuery.
• Data Governance and Security:Understanding of data governance frameworks and implementing RBAC, encryption, and data masking in cloud environments.
• CI/CD and Automation:Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks.
• Manage code changes with GitHub and troubleshoot and resolve application defects efficiently.
• Ensure adherence to SDLC best practices, independently managing feature design, coding, testing, and production releases.
• Problem-Solving:Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues.
• Certifications (Preferred):GCP Data Engineer, GCP Professional Cloud

• Design and Build Data Pipelines:Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
• Service-Oriented Architecture (SOA) and Microservices:Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
• Full-Stack Integration:Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
• Data Ingestion and Integration:Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics.
• GCP Data Solutions:Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs.
• Data Governance and Security:Implement and manage data governance, access controls, and security best practices while leveraging GCP’s native row- and column-level security features.
• Performance Optimization:Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
• Collaboration and Best Practices:Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering.
• Automation and Reliability:Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Master’s degree or equivalent experience preferred.