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Title: Python Data Engineer / API Developer
Location: Salt Lake City, Utah (Onsite)
Duration: Contract
Key: Python, PySpark, Google Cloud Platform, API development
Job Description
We are seeking a highly skilled Python Data Engineer / API Developer with strong hands-on experience in PySpark, cloud-based data engineering on Google Cloud Platform, and API development. The ideal candidate should have expertise in building scalable data pipelines, working with distributed clusters, and developing secure APIs for enterprise-grade applications.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines for batch and/or real-time processing.
- Build and optimize PySpark applications running on distributed clusters.
- Develop secure and scalable Python-based APIs.
- Work with cloud-native Google Cloud Platform services including BigQuery, Composer, DAGs, and Cloud Storage Buckets.
- Implement data quality checks, validations, and monitoring frameworks within pipelines.
- Collaborate with cross-functional teams including data analysts, BI teams, and platform engineers.
- Ensure performance optimization, reliability, and security best practices across solutions.
Required Skills & Qualifications - Strong hands-on experience with PySpark and distributed cluster computing.
- Proven experience in building Python APIs with a focus on security and scalability.
- Strong knowledge of API frameworks such as FastAPI or Flask.
- Hands-on experience with Google Cloud Platform (Google Cloud Platform) services:
- BigQuery
- Composer
- DAG orchestration
- Cloud Storage Buckets
- Experience in building robust batch and/or real-time data pipelines.
- Strong understanding of data quality frameworks and practices.
Preferred Skills - Experience with BI and reporting tools such as:
- Familiarity with CI/CD pipelines and DevOps practices is an added advantage.
- Exposure to data governance and monitoring tools is a plus.
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