Full-Stack Data Engineer

Ford Motor Company

full-time

Posted on: 9/19/2025

Origin: • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

BigQueryCloudGoogle Cloud PlatformJavaMicroservicesMySQLNoSQLPostgresPythonSQLTerraform

About the role

Data Pipeline Architect & Builder: Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources; ensure data is standardized, high-quality, and optimized for analytical use; leverage Python, SQL, and DBT/Dataform.
End-to-End Integration Expert: Utilize full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.
GCP Data Solutions Leader: Build and manage data platforms using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions) to meet business needs.
Data Governance & Security Champion: Implement and manage data governance policies, access controls, and security best practices using GCP native security features.
Data Workflow Orchestrator: Employ Astronomer and Terraform for data workflow management and cloud infrastructure provisioning.
Performance Optimization Driver: Monitor and improve performance, scalability, and efficiency of data pipelines and storage, optimizing resource utilization and cost-effectiveness.
Collaborative Innovator: Collaborate with data architects, application architects, service owners, and cross-functional teams to define best practices and design patterns.
Automation & Reliability Advocate: Proactively automate data platform processes to enhance reliability and data quality and minimize manual intervention.
Effective Communicator: Communicate complex technical decisions to both technical and non-technical stakeholders.
Continuous Learner & Business Impact Translator: Stay current with industry trends and translate business requirements into optimized data asset designs and efficient code.
Documentation & Knowledge Sharer: Develop comprehensive documentation for data engineering processes to promote knowledge sharing and maintainability.

Requirements

Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience).
5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred).
Strong proficiency in SQL, Java, and Python, with practical experience in designing and deploying cloud-based data pipelines using GCP services like BigQuery, Dataflow, and DataProc.
Solid understanding of Service-Oriented Architecture (SOA) and microservices, and their application within a cloud data platform.
Experience with relational databases (e.g., PostgreSQL, MySQL), NoSQL databases, and columnar databases (e.g., BigQuery).
Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments.
Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks.
Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data platform and microservices issues.
Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
A passion for data, innovation, and continuous learning.

Full-Stack Data Engineer

Job Level

Tech Stack

About the role

Requirements

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