GCP Data Engineer

Role Overview: As a GCP Data Engineer at TekWissen, you will be responsible for integrating data from various sources into novel data products. Your role will involve building upon existing analytical data, analyzing and manipulating large datasets, and activating data assets to enable enterprise platforms and analytics within Google Cloud Platform (GCP). You will design and implement transformation and modernization on GCP, creating scalable data pipelines, data marts, and products for analytics solutions. Additionally, you will conduct deep-dive analysis of Current State Receivables and Originations data in the data warehouse, providing implementation solutions and working closely with AI, data science, and product teams to develop innovative solutions for the future of the company. Key Responsibilities: - Integrate data from various sources into novel data products - Analyze and manipulate large datasets to enable enterprise platforms and analytics within GCP - Design and implement transformation and modernization on GCP - Create scalable data pipelines, data marts, and products for analytics solutions - Conduct deep-dive analysis of Current State Receivables and Originations data - Provide implementation solutions and collaborate with AI, data science, and product teams Qualifications Required: - 7+ years of Data Engineering work experience - Proficiency in Big Query, Dataproc, Google Cloud Platform, Data Flow, Data Fusion, TERRAFORM, Tekton, Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, and APIs - Experience with operationalizing data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments (Note: No additional details of the company were present in the provided Job Description) Role Overview: As a GCP Data Engineer at TekWissen, you will be responsible for integrating data from various sources into novel data products. Your role will involve building upon existing analytical data, analyzing and manipulating large datasets, and activating data assets to enable enterprise platforms and analytics within Google Cloud Platform (GCP). You will design and implement transformation and modernization on GCP, creating scalable data pipelines, data marts, and products for analytics solutions. Additionally, you will conduct deep-dive analysis of Current State Receivables and Originations data in the data warehouse, providing implementation solutions and working closely with AI, data science, and product teams to develop innovative solutions for the future of the company. Key Responsibilities: - Integrate data from various sources into novel data products - Analyze and manipulate large datasets to enable enterprise platforms and analytics within GCP - Design and implement transformation and modernization on GCP - Create scalable data pipelines, data marts, and products for analytics solutions - Conduct deep-dive analysis of Current State Receivables and Originations data - Provide implementation solutions and collaborate with AI, data science, and product teams Qualifications Required: - 7+ years of Data Engineering work experience - Proficiency in Big Query, Dataproc, Google Cloud Platform, Data Flow, Data Fusion, TERRAFORM, Tekton, Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, and APIs - Experience with operationalizing data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments (Note: No additional details of the company were present in the provided Job Description)