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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: o Proficiency in SQL for querying and managing large datasets. o Strong programming skills in Python for data processing and automation. o Experience with GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage. o Expertise in data modeling and designing data architectures. o 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.
Additional Information:
What project or initiative will they be working on? Sam's Merchandising Application Data Engineering. Will this role be hybrid?
Yes. If hybrid, how many days per week will need to be in office?
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 a in person meeting for team. Top 3 Skills Needed or Required
o Expertise in data modeling and designing data architectures. o Proficiency in SQL for querying and managing large datasets. o Strong programming skills in Python for data processing and automation. o Experience with GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage. o Solid understanding of ETL/ELT processes and best practices.
What are the day-to-day responsibilities?
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.
What is the makeup of the team?
This will be augmented to Data science and Analytics team in Product Ops. Additional Job Details
Remote/Hybrid - 1 position for this JP.
Required Skills : Data Analysis Additional Skills :
Data Engineer
Sprachkenntnisse
- English
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