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

Position: Data Engineer -(SQL ,Python ,GCP services )Hybrid
Description:

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 Big Query, 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 Big Query, 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 Big Query, 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