Senior Data Engineer - GCP

Description

Job Summary: Senior Data Engineer specializing in GCP to develop, implement, and optimize data engineering solutions, focusing on business value and actionable insights. Key Highlights: 1. Build and optimize scalable data pipelines on GCP 2. Collaborate with cross-functional teams 3. Stay up-to-date with the latest trends and technologies Description: * Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field. * Proven professional experience of 2 to 5 years as a Data Engineer. * Proficiency in programming languages such as Python and SQL. * Practical experience with Google Cloud Platform (GCP) services, including BigQuery, Cloud Storage, Dataflow, and Dataproc. * Pipeline orchestration using Rundeck; * Ability to build and optimize data pipelines on GCP. * Excellent communication and data visualization skills. * Ability to work independently and collaboratively in teams. * Strong problem-solving and analytical thinking skills. * Intermediate/advanced English proficiency. Advantages: * Google Cloud certifications. * Experience in retail projects. * Knowledge of data visualization tools such as Looker or Power BI. * Experience with agile methodologies. A Senior Data Engineer specializing in Google Cloud Platform (GCP) will be responsible for developing, implementing, and optimizing data engineering solutions (pipelines) on GCP infrastructure. This professional will work across the entire data lifecycle—from data collection and cleansing to availability for use, evaluation, and solution deployment—with a focus on delivering business value and actionable insights. * Collect, clean, and pre\-process data from diverse sources, ensuring data quality and integrity. * Explore and analyze data to identify patterns, trends, and opportunities for improvement. * Use GCP services and tools to build scalable and efficient data pipelines, including BigQuery, Cloud Storage, Dataflow, Dataproc, AI Platform, etc. * Collaborate with cross-functional teams to ensure successful integration and implementation of data solutions. * Stay up\-to\-date with the latest trends and technologies. 251128020219919955