Remote Senior GCP Data Engineer - ETL, Pub/Sub & Dataform

ZealHire Inc.; United States; Remoto; USD 83.000 - 138.000; Tempo pieno

Descrizione del lavoro

ZealHire Inc. seeks an experienced Data Engineer to design, build, and support cloud-native data and integration solutions on Google Cloud Platform. You will develop scalable pipelines, serverless functions, and event-driven integrations using Pub/Sub and Dataform.

The role requires strong Python and SQL skills, data modelling, and experience with Redis and Firestore. Collaboration with architects and engineers is essential for delivering robust data platforms.

Competenze

• 5+ years of experience in Data Engineering or Cloud Development.
• Experience with Google Cloud Platform (GCP) services and data pipelines.
• Strong skills in Python, SQL, and data modelling.
• Experience with Pub/Sub, Dataform, and Redis.
• Proficient in REST API design and backend services.
• Familiarity with Cloud Datastore/Firestore and serverless functions.

Mansioni

• Build and maintain scalable data pipelines and ETL/ELT workflows on GCP.
• Develop serverless solutions using Google Cloud Functions.
• Design event-driven integrations using Pub/Sub.
• Design and optimize PostgreSQL databases, SQL queries, and data models.
• Develop and support REST APIs and backend services.
• Utilize Redis for caching and performance optimization.
• Leverage Cloud Datastore/Firestore for NoSQL storage.
• Build Dataform-based data transformation workflows.
• Collaborate with architects, analysts, and engineers to deliver scalable cloud-native solutions.

Conoscenze

GCP data engineering

Python

Advanced SQL

Data modelling

Google Pub/Sub

Dataform

Redis caching

REST API development

Git & CI/CD

Serverless Cloud Functions

Descrizione del lavoro

ZealHire Inc. seeks an experienced Data Engineer to design, build, and support cloud-native data and integration solutions on Google Cloud Platform. You will develop scalable pipelines, serverless functions, and event-driven integrations using Pub/Sub and Dataform.

The role requires strong Python and SQL skills, data modelling, and experience with Redis and Firestore. Collaboration with architects and engineers is essential for delivering robust data platforms.