AWS / GCP Data Engineer

As a GCP Data Engineer at Kagool, you will be responsible for designing, developing, and maintaining scalable data pipelines using GCP services. Your key responsibilities will include: - Building and optimizing ETL/ELT workflows for structured and unstructured data - Developing and managing data lakes and data warehouses on GCP - Implementing data integration solutions using batch and real-time streaming technologies - Optimizing query performance, storage, and compute costs - Ensuring data quality, governance, security, and compliance standards - Automating deployment and monitoring of data engineering solutions - Troubleshooting production issues and providing long-term solutions Qualifications Required: - GCP Associate Data Practitioner (Mandatory) - GCP Professional Data Engineer Certification (Mandatory) - Experience with Kubernetes or Docker - Exposure to machine learning pipelines - Knowledge of data governance and security frameworks - Experience working in Agile/Scrum teams In addition to the technical qualifications, the ideal candidate should possess: - Bachelors degree in Computer Science, Information Technology, Engineering, or related field - 3+ years of experience in Data Engineering - 2+ years of hands-on experience with GCP services - Experience with multi-cloud environments (AWS/Azure) - Experience with Snowflake or other cloud data warehouses - Understanding of DevOps/DataOps practices About Kagool: Kagool is a fast-growing IT consultancy specializing in the transformation of complex Global enterprises. The company is dedicated to individual growth, recognizing contributions, and providing a fun, flexible, and friendly work environment for its employees. Join Kagool for a career path towards progression and opportunities in a high-growth environment. As a GCP Data Engineer at Kagool, you will be responsible for designing, developing, and maintaining scalable data pipelines using GCP services. Your key responsibilities will include: - Building and optimizing ETL/ELT workflows for structured and unstructured data - Developing and managing data lakes and data warehouses on GCP - Implementing data integration solutions using batch and real-time streaming technologies - Optimizing query performance, storage, and compute costs - Ensuring data quality, governance, security, and compliance standards - Automating deployment and monitoring of data engineering solutions - Troubleshooting production issues and providing long-term solutions Qualifications Required: - GCP Associate Data Practitioner (Mandatory) - GCP Professional Data Engineer Certification (Mandatory) - Experience with Kubernetes or Docker - Exposure to machine learning pipelines - Knowledge of data governance and security frameworks - Experience working in Agile/Scrum teams In addition to the technical qualifications, the ideal candidate should possess: - Bachelors degree in Computer Science, Information Technology, Engineering, or related field - 3+ years of experience in Data Engineering - 2+ years of hands-on experience with GCP services - Experience with multi-cloud environments (AWS/Azure) - Experience with Snowflake or other cloud data warehouses - Understanding of DevOps/DataOps practices About Kagool: Kagool is a fast-growing IT consultancy specializing in the transformation of complex Global enterprises. The company is dedicated to individual growth, recognizing contributions, and providing a fun, flexible, and friendly work environment for its employees. Join Kagool for a career path towards progression and opportunities in a high-growth environment.