Data Engineer

Our Client, an American Multinational Clothing and Accessories Retailer company, is looking for a Data Engineer for their San Francisco, CA location.
 
Responsibilities:

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform (GCP).
• Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
• Develop and maintain high-quality data models that support reporting, analytics, and AI use cases.
• Ingest, transform, validate, and publish data from multiple enterprise source systems.
• Collaborate with Product Managers, Business Analysts, Data Architects, and engineering teams to understand business requirements and deliver scalable data solutions.
• Develop reusable data transformation components and adhere to established engineering standards and best practices.
• Optimize data processing performance, reliability, and cost efficiency.
• Perform unit testing, data validation, and production support to ensure data quality and operational stability.
• Participate in Agile ceremonies, including sprint planning, backlog refinement, and code reviews.
• Document technical designs, data flows, and implementation details

 
Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• 4+ years of experience in Data Engineering.
• Hands-on experience developing data solutions on Google Cloud Platform (GCP).
• Strong Experience With:
• Dataproc
• BigQuery
• SQL
• dbt (Data Build Tool)
• Strong knowledge of data modeling techniques, including dimensional modeling and analytical data warehouse concepts.
• Experience building scalable ETL/ELT pipelines and processing large datasets.
• Familiarity with software development best practices, including Git-based version control and CI/CD.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration skills
• Preferred Qualifications
• Experience with Apache Airflow for workflow orchestration.
• Experience integrating with Apache Kafka or other event streaming platforms.
• Working knowledge of PySpark for distributed data processing.
• Experience using Python for data engineering, scripting, and automation.
• Knowledge of data quality, metadata management, and data governance principles.
• Domain Experience (Highly Desirable)
• Experience in one or more of the following domains is highly desirable:
• Retail industry (Apparel)
• Supply Chain data platforms
• Transportation and Logistics
• Warehouse Management Systems (WMS)
• Distribution Center operations
• Desired Attributes
• Strong problem-solving and analytical skills.
• Ability to work independently while collaborating effectively within cross-functional Agile teams.
• Commitment to delivering high-quality, reliable, and scalable data solutions.
• Eagerness to learn new technologies and continuously improve engineering practices.
• Customer-focused mindset with the ability to translate business requirements into effective technical solutions

 
Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities