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Über
Location:
Salt Lake City Its day 1 onsite
Duration: Long term
Key: Python, PySpark, GCP, API development
Role Overview
We are seeking a highly skilled Python Data Engineer / API Developer with strong hands-on experience in PySpark, cloud-based data engineering on GCP, 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 GCP 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 (GCP)
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:
Power BI MicroStrategy
Familiarity with CI/CD pipelines and DevOps practices is an added advantage. Exposure to data governance and monitoring tools is a plus.
Sprachkenntnisse
- English
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