Immediate need for a talented Data Engineer, AI & Supply Chain. This is a 17+ Months Contract opportunity with long-term potential and is located in California (Remote). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-23153
Pay Range: $35 - $39/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform (Google Cloud Platform).
- 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.
Key Requirements and Technology Experience:
- 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 (Google Cloud Platform).
- 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.
- 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.
Our client is a leading apparel retail Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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