GCP Data Engineer

• Design, develop, and deploy GCP-based data processing systems and solutions.
• Implement scalable and reliable data pipelines for ingesting, processing, and storing large volumes of data.
• Optimize data storage and retrieval processes using GCP storage solutions.
• Collaborate with data analysts to understand data requirements and implement appropriate solutions.
• Ensure data integrity, security, and compliance with regulatory requirements.
• Monitor and troubleshoot data processing systems to ensure optimal performance and reliability.
• Develop and maintain documentation for data engineering processes and systems.
• Implement data governance best practices for data quality, lineage, and metadata management.
• Assist in the evaluation and selection of appropriate GCP services for specific data processing needs.
• Stay updated with GCP developments and recommend innovative solutions to improve data engineering processes

Qualifications:

• Bachelor's or master's degree in Computer Science, Data Engineering, or related field.
• Proven experience in designing and implementing data processing systems on Google Cloud Platform.
• Proficiency in programming languages such as Python for data processing and ETL (Extract, Transform, Load) tasks.
• Strong understanding of big data technologies and frameworks.
• Experience with GCP services such as BigQuery, Dataflow, Pub/Sub, and Dataproc.
• Expertise in SQL and database technologies for data manipulation and querying.
• Ability to troubleshoot and optimize data processing workflows for performance and cost-efficiency.
• Excellent communication skills and the ability to collaborate in cross-functional teams.
• Understanding of data governance principles and best practices.
• Familiarity with machine learning pipelines and model serving on GCP is a plus.
• Certifications in GCP data engineering or related areas are preferred.
• Work Experience (years) 7 - 9 years
• EducationBachelor's Degree