GCP Data Engineer: Build Scalable Data Pipelines

ESR Healthcare; Austin (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a GCP Data Engineer to join their Austin office. This role involves designing robust data systems using cutting-edge Google Cloud technologies such as BigQuery, Dataflow, and Pub/Sub. You will be responsible for building and maintaining scalable data pipelines, ensuring data security and governance, and developing ETL processes. The ideal candidate has over three years of experience in data engineering, strong proficiency in Python and SQL, and a keen attention to detail. Join a dynamic team that values innovation and collaboration to drive data solutions that empower business decisions.

Qualifications

• 3+ years of experience in data engineering with GCP.
• Proficiency in Python, SQL, and GCP services.

Responsibilities

• Build and maintain scalable data pipelines using GCP tools.
• Collaborate with stakeholders to gather requirements and deliver data solutions.

Skills

Python

SQL

Problem-solving

Attention to detail

Education

Bachelor’s degree in Computer Science

Related field

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Pub/Sub

Data pipeline orchestration tools

Job description

An established industry player is seeking a GCP Data Engineer to join their Austin office. This role involves designing robust data systems using cutting-edge Google Cloud technologies such as BigQuery, Dataflow, and Pub/Sub. You will be responsible for building and maintaining scalable data pipelines, ensuring data security and governance, and developing ETL processes. The ideal candidate has over three years of experience in data engineering, strong proficiency in Python and SQL, and a keen attention to detail. Join a dynamic team that values innovation and collaboration to drive data solutions that empower business decisions.