Data Engineer -(SQL ,Python ,GCP services )Hybrid

GCP Data EngineerWe are looking for an experienced GCP Data Engineer with 5-8 years of hands-on experience to join our team. The ideal candidate will have extensive practical knowledge in SQL, Python, data modeling, and solving complex ETL/ELT challenges. In this role, you will actively design, develop, and maintain data pipelines and architectures within Google Cloud Platform (GCP) to support data-driven decision-making.Key Responsibilities:Data Modeling: Create and maintain data models and schemas to support business intelligence and reporting needs. Ensure data integrity and consistency across various sources.Data Engineering: Design, build, and manage scalable data pipelines and ETL/ELT processes using GCP tools such as BigQuery, Dataflow, Dataproc, and Pub/Sub.SQL Development: Write efficient and complex SQL queries for data extraction, transformation, and analysis. Optimize query performance for large datasets.Python Programming: Develop Python scripts and applications for data processing, automation, and integration with GCP services.Problem Solving: Troubleshoot and resolve data-related issues, ensuring data accuracy and performance. Implement best practices for data management and optimization.Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.Documentation: Maintain comprehensive documentation for data pipelines, models, and processes. Ensure clear communication of technical concepts to non-technical stakeholders.Qualifications:Bachelor's degree in Computer Science, Data Engineering, Mathematics, or a related field. Advanced degree is a plus. 5-8 years of hands-on experience as a Data Engineer, particularly with GCP services and tools. Extensive practical experience in SQL and Python is essential.Technical Skills:Proficiency in SQL for querying and managing large datasets.Strong programming skills in Python for data processing and automation.Experience with GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.Expertise in data modeling and designing data architectures.Solid understanding of ETL/ELT processes and best practices.Problem-Solving: Demonstrated ability to tackle complex data problems and implement effective solutions.Communication: Good verbal and written communication skills. Ability to convey technical information to a non-technical audience.Preferred Skills:Experience with other cloud platforms (e.g. Azure) is a plus. Familiarity with data visualization tools (e.g., Looker, Power BI) is advantageous.Project or Initiative:Sam's Merchandising Application Data Engineering.Work Model:This role is hybrid. Remote work is ok. If worker is in BV or CA, expectation is for the contractor to come onsite once per week or when there is an in person meeting for team.Top Skills Needed:Expertise in data modeling and designing data architectures. Proficiency in SQL for querying and managing large datasets. Strong programming skills in Python for data processing and automation.