Required Skills: Data Engineering, Enterprise-scale data pipelines, GCP, Google BigQuery, Python, Strong SQL, ETL, ELT, Data integration, Data transformation, Data modeling, CI/CD, DevOps practices, Large-dataset processing, AI/ML concepts, Data pipelines supporting ML workloads

Job Description

• Bachelor's degree or Master’s Degree in Computer science, or a related field
• Experience in Data Engineering and development of enterprise-scale data pipelines.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience in Google BigQuery.
• Excellent proficiency in Python.
• Good understanding and practical experience with AI/ML concepts and data pipelines supporting ML workloads.
• Experience with ETL/ELT, data integration, data transformation, and data modeling.
• Experience implementing CI/CD pipelines and DevOps practices.
• Working experience with AWS cloud services.
• Strong SQL skills and experience working with large datasets.
• Strong troubleshooting, analytical, and problem-solving skills.