Senior GCP Data Engineer — Pipelines, Python & BigQuery

Tech Mirrors; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Tech Mirrors is looking for a GCP Data Engineer with extensive experience in Python, SQL, and cloud-native technologies. This role involves designing, building, and optimizing data pipelines and collaborating with analytics teams to ensure high-quality data for decision-making.

The ideal candidate has over 7 years of data engineering experience along with hands-on knowledge of GCP, Apache Airflow, and data modeling techniques. If you have a proven track record in data engineering and excellent communication skills, we'd love to hear from you.

Qualifications

• 7 years of data engineering experience.
• 5 years of hands-on GCP experience.
• Expertise in Python and advanced SQL.

Responsibilities

• Design, develop, and maintain scalable GCP data pipelines using BigQuery.
• Implement Apache Airflow orchestration for complex workflows.
• Conduct code reviews and create comprehensive technical documentation.

Skills

Python

SQL

Data modeling

GCP (Google Cloud Platform)

Apache Airflow

Docker

Kubernetes

Communication skills

Education

Bachelor's or Master's in Computer Science, Data Engineering, or related field

Tools

BigQuery

Dataflow

Job description

Tech Mirrors is looking for a GCP Data Engineer with extensive experience in Python, SQL, and cloud-native technologies. This role involves designing, building, and optimizing data pipelines and collaborating with analytics teams to ensure high-quality data for decision-making.

The ideal candidate has over 7 years of data engineering experience along with hands-on knowledge of GCP, Apache Airflow, and data modeling techniques. If you have a proven track record in data engineering and excellent communication skills, we'd love to hear from you.