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 (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.
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 (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.
- 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.
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