Data Engineer Onsite Bentonville, AR - hybrid Job Summary : We 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 : Education : Bachelor's degree in Computer Science, Data Engineering, Mathematics, or a related field.
Advanced degree is a plus. Experience : 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.
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