Junior Data Engineer – Google Cloud / Enterprise Data Warehouse
About the Role
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Junior Data Engineer – Google Cloud / Enterprise Data Warehouse
Position Summary
Seeking an junior-level Data Engineer to build, enhance, and maintain an Enterprise Data Warehouse (EDW) supporting reporting, analytics, and AI-driven use cases. This role requires strong hands-on experience with Google Cloud Platform (GCP), BigQuery, Python, SQL, and cloud-based data pipelines.
Must-Haves
- 3+ years of hands-on Data Engineering experience
- Strong Google Cloud Platform (GCP) experience
- Hands-on experience with Google Cloud Storage (GCS) and BigQuery
- Experience building and maintaining ETL/ELT data pipelines
- Experience with Airflow / Cloud Composer
- Experience with Cloud Data Fusion
- Experience with Google Cloud Functions
- Experience with BigQuery Data Transfer Service
- Strong hands-on Python and SQL
- Experience with GitHub / version control
- Experience building or supporting an Enterprise Data Warehouse (EDW)
- Experience working within an Agile/Scrum development team
- Strong troubleshooting, problem-solving, and data pipeline support skills
Key Responsibilities
- Build, modify, and maintain cloud-based data pipelines and Enterprise Data Warehouse solutions.
- Develop scalable data solutions using GCS, BigQuery, Cloud Composer/Airflow, Cloud Data Fusion, Cloud Functions, and BigQuery Data Transfer Service.
- Write and optimize Python and SQL for data processing, transformation, and integration.
- Collaborate with data engineering, integration, production support, and business teams to develop new functionality.
- Troubleshoot and resolve data pipeline, integration, and EDW production issues.
- Participate in Agile ceremonies, technical discussions, code reviews, and continuous improvement initiatives.
- Use Google Gemini or Claude to assist with creating detailed technical and system documentation for data pipelines.
- Manage competing priorities while ensuring high-impact deliverables are completed on schedule.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- Google Cloud Platform certifications.
- Experience supporting data platforms used for reporting, analytics, Agentic AI, or Generative AI use cases.
- Strong communication, collaboration, and stakeholder management skills.
Interested candidates may submit their resumes online or call at 310-906-4780 for further information regarding the position.
NS-DEAA-NS_1788200762
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