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Ford
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GCP Data Engineer

GCP Data Engineer

Ford

3 - 5 years

7 - 8 Lacs

Chennai

Posted:3 days ago| Platform:

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Skills Required

Computer science Automation SOA Postgresql MySQL Data quality Information technology Monitoring SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Were seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role in the development and maintenance of our Enterprise Data Platform- In this role, youll be responsible for designing, building, and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment- Youll work with GCP Native technologies like BigQuery, Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance- This is a fantastic opportunity to leverage your full-stack expertise, collaborate with talented teams, and establish best practices for data engineering at Ford-

What Youll Bring: (Qualifications)

Bachelors degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience)-
3-5 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-

What Youll Do: ( Responsibilities)

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 cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines-

End-to-End Integration Expert:

Utilize your 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

: Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc-) to build and manage data platforms that not only meet but exceed business needs and expectations-

Data Governance & Security Champion

: Implement and manage robust data governance policies, access controls, and security best practices, fully utilizing GCPs native security features to protect sensitive data-

Data Workflow Orchestrator

: Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC)-

Performance Optimization Driver

: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness-

Collaborative Innovator

: Collaborate effectively with data architects, application architects, service owners, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering-

Automation & Reliability Advocate

: Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency-

Effective Communicator

: Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment-

Continuous Learner

: Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities-

Business Impact Translator

: Translate complex business requirements into optimized data asset designs and efficient code, ensuring that our data solutions directly contribute to business goals-

Documentation & Knowledge Sharer

: Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability

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GCP Data Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

What Youll Bring: (Qualifications)

What Youll Do: ( Responsibilities)

Data Pipeline Architect & Builder:

End-to-End Integration Expert:

GCP Data Solutions Leader

Data Governance & Security Champion

Data Workflow Orchestrator

Performance Optimization Driver

Collaborative Innovator

Automation & Reliability Advocate

Effective Communicator

Continuous Learner

Business Impact Translator

Documentation & Knowledge Sharer

More Jobs at Ford