Seeking a Senior Data Engineering professional with 6-10 years of experience in designing, deploying, and managing applications on Google Cloud Platform (GCP).

This role emphasizes a strong understanding of cloud computing principles to ensure scalable and reliable application performance within the automotive domain.

Key technical proficiencies include Python for data processing and ML integration, SQL for database querying and integrity, and experience with API development.

Familiarity with product development and Agile methodologies is crucial for effective teamwork and project delivery.

Develop and manage data pipelines and applications on Google Cloud Platform (GCP). Implement CI/CD pipelines using Tekton for automated deployments. Manage infrastructure as code using Terraform to ensure consistency and scalability. Write efficient Python scripts for data processing and integrate machine learning models. Utilize SQL for complex database queries, data validation, and ensuring data accuracy. Collaborate with cross-functional teams using Agile frameworks and product development principles. Troubleshoot and optimize data engineering solutions for performance and reliability.

Possess 6 to 10 years of hands-on experience in data engineering, with a focus on Google Cloud Platform (GCP). Demonstrate proficiency in Python for scripting and data manipulation, alongside strong SQL skills for database interactions. Experience in API development and a solid grasp of product development lifecycle and Agile methodologies are required. Capability to implement CI/CD pipelines using Tekton and manage infrastructure as code with Terraform. An M.Tech in Cloud Computing, Data Science, or Big Data Analytics is preferred. Certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics – Specialty are advantageous.